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

Job DescriptionStrength in Trust OneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down—it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge Enterprise Account Executives have a critical role and responsibility to deliver new client acquisition in zero-base accounts, while also ensuring successful relationships and revenue growth with existing customers. OneTrust is a fast-growing SaaS enterprise platform with a strong growth trajectory. We invest heavily in our Sales Team through demand generation, methodology-driven sales philosophy, weekly sales trainings, customer-driven roadmaps, and a readily available executive team to help close deals. Your Mission The Account Executive (AE) is responsible for consistently generating, qualifying, and executing opportunities that support our customers in the pursuit of becoming more trusted organizations and drive revenue for OneTrust. AEs are expected to use their thorough knowledge of the industry and excellent value-based sales skills to create the best solutions and solve complex customer problems. AEs must bring useful insights and best practices to customers and prospects. As an Enterprise Account Executive, you will: • Meet or exceed quota, • Conduct outreach to generate a pipeline consistently, even when engaged in closing activities, • Demonstrate resourcefulness to identify & leverage stakeholders, leaders, and champions to drive the execution of the sales strategy appropriately, • Work effectively in a cross-functional manner with Business Development, Partner Channel, and Solutions Engineering to successfully land and expand key accounts, • Utilize two-sided discovery & impeccable communication to understand the customers' needs and articulate valuable solutions, • Understand key competitors and their strategies to clearly differentiate OneTrust's solutions in the marketplace, • Establish customer relationships that enable OneTrust to be viewed as a trusted advisor Your experience includes: • Strong experience selling B2B Enterprise-level software or related technologies, with ideally ~7 years of experience, but exceptions may be made for the right candidate, • Previous experience in Value Selling, • Strong track record of performance with landing net new logos while growing and supporting existing key accounts, • Previous experience running sales presentations/demos Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview. Benefits As an employee at OneTrust, you will be part of the OneTeam. That means you'll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers. Resources Check out the following to learn more about OneTrust and its people: • OneTrust Careers on YouTube Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address. For more information or if you have been targeted please reach out to . Our Commitment to You When you join OneTrust you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career. OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.

Job Description Who We Are Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our 600+ employees work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world's most premium platforms. Taking a creative science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Now 20+ years strong, Kargo has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Who We Hire Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn't stop to ask what's next, because they're already building it. Mission As the AI Engineer at Kargo, you will architect, build, and scale AI-powered products and automations for Kargo's commercial organization. Operating within the Data & AI team, you are the connective tissue between revenue teams and AI infrastructure — proactively identifying high-value use cases, building intelligent workflows and agentic applications, and deploying trustworthy systems across Salesforce, Snowflake, Slack, and other internal platforms. You're both hands-on and capable of owning the strategic roadmap for AI operations at Kargo. This is a hybrid role requiring onsite presence 4 days per week. Outcomes - What Success Looks Like in 6-12 Months • At least 3 high-impact AI automations are live and actively used by commercial teams — measurably reducing manual work or improving data quality across Salesforce, Slack, or Snowflake, • A governance model is in place covering prompt engineering standards, audit trails, and a feedback loop that drives continuous iteration, • Cross-functional stakeholders trust and use the tools you've built, and Kargo's Data & AI leadership has a clear, prioritized AI Ops roadmap that you own and drive Design & Automation • Design, build, deploy, and maintain AI-powered automations and agent workflows using modern orchestration frameworks — LangGraph, n8n, OpenAI Responses/Agents tooling, MCP-compatible architectures — with integrations across Salesforce, Slack, Snowflake, Atlassian, Google Workspace, Looker, and Airtable, • Translate business pain points into modular, extensible automation flows that are observable, debuggable, and fault-tolerant; proficient in Python or JavaScript for custom connectors and scripting, • Build production-grade LLM applications — agent workflows, retrieval systems, internal copilots — using ChatGPT Enterprise and related LLM APIs for knowledge surfacing, workflow routing, decision support, and dynamic content generation, • Work cross-functionally with Sales, Client Services, Media Strategy, Marketing, Product, and Ops to discover automation opportunities, prototype quickly, document tooling, and drive self-service adoption, • Prompt libraries, embeddings-based retrieval, or vector databases (Pinecone, Weaviate) and RAG pipelines Builder's Instinct • AdAge Best Places to Work, • ThinkLA Partner of the Year, • Built In Best Places to Work, • Cynopsis 2025 Top Women in Media - Jeannine Shao Collins, • Martech Breakthrough Awards - Best Overall Adtech Company, • Digiday Media Awards Best Event, • Cynopsis Media Impact Awards-Best CTV Platform, • Martech Breakthrough Awards-CTV Innovation, • Big Picture: kargo.com Pursuant to applicable fair chance laws, including the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Kargo will consider qualified applicants with arrest and conviction records for employment.

Job Description About Synchron Synchron’s vision is to build non-surgical brain–computer interfaces at global scale that protect the fundamental human rights of freedom of expression and autonomy. Our first mission is to develop motor decoders that restore the ability of 15 million people with paralysis to interact with the digital world. Our second mission is to develop whole-brain cognitive decoders that enable hundreds of millions of people with cognitive decline to preserve and expand their agency as cognition changes over time. In pursuing these goals, we aim not only to help humans flourish, but also to drive fundamental discoveries in human intelligence. Our team operates at the intersection of healthcare and technology, translating breakthrough research into real-world, safety-critical systems. Employment: Full-Time Location: Brooklyn, New York (Onsite) About the Role We are seeking an energetic, personable, and adaptive researcher to work directly with the pioneering participants of our brain-computer interface (BCI) product. This role bridges human neuroscience research, applied machine learning, and real-world BCI deployment. You will work closely with our machine learning, research engineering, clinical, and product teams to collect, analyze, and interpret neural and behavioral data, contributing directly to the improvement of real-time neural decoding models and user experience. Your work will directly translate to the ability of our users to control the BCI. The ideal candidate is resourceful, learns fast, handles uncertainties strongly, and has excellent experiment operations. You should be as comfortable speaking with participants and their caregivers as you are experimenting with model training pipelines or analyzing data. Key Responsibilities • Conduct research sessions with BCI users, including setup, calibration, and structured data collection., • Analyze and interpret multimodal data (neural, behavioral, video) to inform product and research decisions., • Develop and iterate on machine learning models for neural signal decoding and behavioral prediction., • Collaborate with machine learning and research engineering teams to align experimental protocols with product goals., • Document findings and methodologies for internal and external dissemination., • Support the design of human research protocols and ensure compliance with ethics and safety standards., • Bachelor’s, Master’s, or PhD in Neuroscience, Computer Science, Biomedical Engineering, or a related field (or equivalent experience)., • Expertise in Python, with model training workflows (e.g., PyTorch, TensorFlow, scikit-learn, metaflow), and data science frameworks and tools (e.g., NumPy, Pandas, SciPy, matplotlib, seaborn)., • Expertise in machine learning techniques and applications for real-time systems, • Demonstrated ability to problem-solve under uncertainty and adapt quickly to new environments., • Excellent interpersonal and communication skills for working directly with BCI users and research participants., • Experience conducting or supporting human research., • Familiarity with brain–computer interface systems or electrophysiological data., • Experience designing or executing experiments with human participants., • Experience in applied research environments integrating software, hardware, and data science.Compensation, • The base salary range for this role is $150,000 – $220,000USD depending on experience, skills, and qualifications. We are unable to offer visa sponsorship for this position at this time. Benefits (for W-2, full-time, exempt employees in the US only) ***Intern positions not eligible • Subsidized medical and dental insurance coverage for you and your dependent(s), • Life insurance, short-term disability, long-term disability, • 401k, • Discretionary unlimited PTO, • Flexible Spending Account for you and your dependent(s), with eligible plan elections, • Commuter benefits for NY employees Equal Employment Opportunity (EEO) Synchron is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants and provide equal employment opportunities without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable law. If you need a reasonable accommodation during the application or interview process, please let us know. Join Us At Synchron, you will be part of a transformative mission and you will work alongside driven people who believe in the power of collaboration and innovation to make a lasting impact. If you are excited to stretch your skills and contribute to something meaningful, apply and now and build the future with us.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest.US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this role, you will oversee projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data lead who can successfully manage projects, teams, and stakeholders.What You'll Do • Manage the project and stakeholders through all core project phases, including project setup, requirements gathering, design, development, testing, and deployment, • Lead the team through hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks, • Ensure client satisfaction through consistent support, impactful thought leadership and high-quality project execution, • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication, • Facilitate workshops, provide status updates, and lead meetings across the executive levels of client organizations, • Proactively identify risks, issues and provide mitigation strategies, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat You'll Bring, • Eagerness to help build and lead a best-in-class data practice, • 5+ years Project Management, Process, Implementation, System Integration, and SDLC experience working closely with data professionals in an Agile environment, • Experience with project planning, including tasks, budgeting, resource allocation and balancing, • 7+ years in a consulting or a data-focused role and expert-level experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar, • Experience designing and building relational database and/or data warehouses, • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, Power BI, Looker, etc Preferred Additional Experience, • A solid understanding of key BI trends and the BI vendor landscape, • Experience in Media & Entertainment and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC), • Cloud computing experience, whether with AWS or other vendors, • Ability to understand/design small-to-medium size data architectures, • Ability to automate data-related tasks using scripts and programming languages, • Ability to profile, explore, and analyze data to identify common data patterns, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytical fields

Job DescriptionSalary: JOB DESCRIPTION: Database Engineer Company: Paga Sector: FinTech Position: Database Engineer Reports to: Software Team Lead/Senior Database Engineer Location: Lagos, Nigeria Experience: 1 to 6 years of database engineering experience ABOUT PAGA Paga is on a mission to enable one billion Africans and millions of SMEs to pay, preserve hard-earned income, participate in global trade, and purchase goods and services at home and abroad. We have built a multicurrency, cloud-based payments and financial services engine that leverages multiple business services built on the same best-in-class infrastructure to serve the ecosystem through three businesses - Paga Engine (Enterprise B2B - ); Paga (Consumer - ); and Doroki (SME Retail - ). Paga has three licenses with the Central Bank of Nigeria mobile money, international remittance, and a microfinance bank. Paga is headquartered out of the United Kingdom and has operating entities in Nigeria, United States, and Ethiopia. Founded in 2009, Paga now serves millions of users and businesses across Africa and beyond. Paga is a licensed financial services company and a leading payments company in Nigeria. Our purpose at Paga is to make it simple for 1 billion people to access and use money. We do that by delivering innovative financial services to the mass market across large, underserved markets. We were founded on the simple belief that the growing ubiquity of the internet and mobile phones enables us to build an ecosystem that empowers everyone to digitally send and receive money and to use simple but meaningful financial services. At Paga we value above all else, Collaboration, Ownership, Results Orientation, Integrity and Innovation (CORII). As a Software Engineer - Mobile iOS Native at Paga, you will take on responsibility for implementing high-quality functionality for well-defined functional or technical areas of the iOS platform. You will design, build, and maintain native iOS applications that serve millions of customers across Africa. You will work within an agile, functionally-aligned team across a broad range of technical platforms and frameworks. You will participate in the full range of product development and product-maintenance activities including design, support, code review and training and be expected to engage consistently with other stakeholders across the organization within the functional areas that your work affects. KNOWLEDGE AND SKILL REQUIREMENTS • A degree in a related discipline, • 1 6 years database programming experience, • Agile product development methodology experience, • Excellent SQL programming skills, • Strong knowledge and experience with database performance optimization and optimization application, • Working knowledge of database management concepts, • Strong Microsoft SQL specific applied knowledge, • PostgreSQL applied knowledge a plus, • MySQL specific applied knowledge a plus TECHNICAL QUALIFICATIONS • SQL Code Sophistication Understands database programming concepts, from basic functional up to fairly complex programming constructs/techniques and applies them in their work. Can Implement complex, well-defined functions, scripts, stored procedures and triggers to a high level of quality to support application development., • SQL Code Performance and Optimization - Is aware of significant database programming performance "smells" and avoids them independently. Considers performance in their implementation and leverages well known methods to produce performant code. Can identify issues related to database performance and provide corrective measures. Can evaluate existing data storage solutions and recommend improvements for performance efficiency, • Testing - Is fastidious about testing query results and testing the impact of potential write operations prior to provision for any production use. Takes pride in the accuracy of their results., • No-SQL Database Knowledge - Can understand no-sql data source paradigms and implement data queries for no-sql databases. May have working knowledge in one or more common no-sql data stores., • Code Cleanliness and Organization - Produces clean and well-organized, well-documented code. Effectively documents database products and objects. Is meticulous about in-code comments to support reusable database objects, • Tool/Routine Automation - Is consistent about automating or tooling repetitive database engineering tasks to improve long-term productivity and institutionalize activities, • Bug Free Code - Produces bug-free code at a reasonable pace. Doesn't require much time or back-and-forth with testing to produce error-free code., • Process Adherence & Development - Follows defined development processes with little or no oversight. Works well in an iterative, agile development environment and adheres to processes effectively. NON-TECHNICAL VALUES & TRAITS • Scope - Is able to take on specific, well defined, lower-complexity tasks and execute them effectively and to a high level of quality with supervision. May own small to medium features of the system from technical design through to completion with guidance., • Initiative - Takes the initiative to reach out to superiors and senior peers whenever necessary for support and assistance. Takes initiative to effectively breakdown, prioritize and implement tasks tactically. Takes initiative to improve on design and strategic impact on the areas of responsibility in collaboration with feature stakeholders., • Follow Through/Scrappiness/Grit/Availability - Sees tasks through to completion, focusing on quality and completeness rather than speed of execution. "Does what it takes" to marshal resources and support to drive tasks to completion efficiently., • Mastery/Depth of Understanding - Is able to develop a sufficient understanding of the task at hand to execute it effectively. Develops strong, self-sufficient knowledge of a specific area of the system. Understands core system framework enough to be able to use them with minimal supervision. Capable of providing on-call support for areas of the system that they are familiar with. Understands company process and methodology well., • Business Impact Awareness, Pragmatism - Takes direction effectively to implement tasks per instruction from managers. May make independent sensible design decisions that optimize business value of work. Avoids focusing on unimportant details and excessive bikeshedding., • Vision & Strategic Perspective - Is able to understand the vision and strategic goals of the organization. Understands current business strategic goals and incorporates them in design and development decisions in an effective way. Demands an understanding of strategic motivations for their work, • Collaboration Works well in a team environment composed of multiple product development skills. Is courteous, tactful and diplomatic. Responds positively to request for help from internal and external partners. Does his/her share of tasks. Takes on additional work, when asked, to help a colleague out. Keeps people informed of progress on key tasks., • Ownership & Results Orientation Demonstrates self-motivation and initiative taking in personal and professional level. Is comfortable with rapid change and is willing to take ownership to deliver results in a high-pressure product development environment. Takes decisive and accurate action to deliver value. Accepts responsibility for outcomes even when elements are not within his/her control, providing a balanced and objective explanation. Supports and encourages others to adopt a constructive attitude to the successful completion of work responsibilities. Share own successes and praise others for motivation. Motivates colleagues through their own enthusiasm and willingness to learn., • Integrity Is honest without fail. Treats everyone with respect. Expresses an interest in the way people behave, recognizing the importance of attitudes and motives. Acknowledges the good work of others. Pays close attention to the needs of others., • Policy Adherence - Keeps up to date with rules and regulations. Applies policies, processes and procedures to daily working. Identifies and proposes solutions for improvements to ways of working., • Communication Shares technical and product-specific knowledge with team and company through 1x1 conversations, presentations, and support. Expresses ideas or facts clearly. Good written and verbal communication skills. Promotes two-way communication with others through correct interpretation of messages and appropriate responses. Communicates in a non-threatening way. Shows empathy. Click on this link to apply for this job. We are an equal opportunity employer and value diversity inclusion. We do not discriminate on grounds of colour, race, nationality, religion, age, ethnic origin, disability, gender, marital status, or sexual orientation in our employment practices.

Job Description About the Company This is an AI‑native startup building advanced legal automation systems for small and mid‑sized law firms. The team recently raised a Series A, has grown revenue more than 4× in the last four months, and is scaling quickly to meet demand. With a current team of ~15, every engineer plays a defining role in product direction, culture, and technical standards. The company's AI agents already outperform human lawyers in third‑party evaluations — this is applied AGI work, not toy demos. About the Role We're hiring a full‑stack engineer (1–5 years experience) who loves building, shipping, and owning production systems. You'll work across the entire stack — TypeScript, Python, React, Next.js, LLMs, agentic workflows — and ship features that immediately impact real customers. This is a high‑agency, high‑ownership role where you'll work directly with founders, legal experts, and internal teams to build AI systems that automate real legal workflows. What You'll Do • Ship production‑grade features across the full stack (TypeScript, Python, React, Next.js), • Build intuitive UI/UX for AI‑native workflows using LLMs and agentic architectures, • Prototype and iterate rapidly on zero‑to‑one features, • Own your work end‑to‑end: design build deploy monitor iterate, • Contribute to both product engineering and infrastructure, • Work closely with internal teams to understand workflows and automate them, • Help set the engineering bar and shape the culture for future hiresMust‑Haves, • 1–5 years of full‑stack or product engineering experience, • Strong proficiency in TypeScript and Python, • Has shipped production‑quality features at a reputable, high‑growth company (Series A+ preferred), • Can point to something they've built and are proud of (GitHub, portfolio, personal project), • Holds a 4‑year CS degree (or equivalent technical degree), • High agency and reliability — able to own problems independently, • Comfortable working in‑person 5 days/week in NYC, • Thrives in fast, scrappy, early‑stage environmentsNice‑to‑Haves, • Experience at high‑growth companies like Figma, Notion, Airtable, etc., • Experience with LLM APIs, agentic workflows, or AI‑native product patterns, • Experience building production frontend with React, • Prior startup or founding experienceCompensation & Benefits, • Competitive base salary, • 0.5%–1% equity, • Full health, dental, vision, • Visa sponsorship available (H‑1B transfers + new applications, OPT, TN), • Relocation support to NYCWork Environment, • On‑site 5 days/week in Manhattan, • High‑agency, high‑ownership culture, • Fast‑moving, collaborative, and product‑obsessed, • Engineers work closely with founders and domain experts, • Expectation of independent execution with minimal hand‑holding

Job Description About impact.com impact.com is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L'Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results. Your Role at impact.com: We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics. This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business. You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both. What You'll Do: Yield Optimization & Pricing Models • Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory., • Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health., • Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns., • Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives., • Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions., • Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving., • Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes., • Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making., • Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers., • Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic., • Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue., • Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy., • Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate., • Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides., • Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly., • Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse. Required • Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems)., • Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack., • Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership., • Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems., • Technical skills:, • Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks)., • Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference)., • Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining., • Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events., • Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques)., • Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums., • Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms., • Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML., • Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems., • Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions., • Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling)., • Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training., • Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts., • Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack., • Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain., • Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal., • Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking., • Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Benefits and Perks: At impact.com, we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance. • Medical, Dental, and Vision insurance, • Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled, • Flexible spending accounts and 401(k), • Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life., • Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health., • A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval., • Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses., • Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver. #LI_NewYork_NewYork

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

Job DescriptionCareer Renew is recruiting for one of its clients a Forward Deployed Research Analyst - this is a hybrid role in NYC. Salary range: 200-250K USD base plus benefits plus equity.We are building the AI platform for hedge funds and asset managers. We deploy software and custom workflows that make funds AI-native — connecting their data, encoding their expertise into agents and skills, and automating their highest-value workflows. The firms that are winning with AI aren't using better models. They have a more thoughtful ecosystem around them, and that's what we build. Unlike most AI startups, we're cash-flow positive and client-funded — our growth comes from the trust of our clients, the value we deliver, and the exceptional caliber of our team. Our team combines engineers from top institutions across finance (Citadel, Goldman Sachs, Millennium, D.E. Shaw, Two Sigma, and Bridgewater) and technology (leading data and AI startups) with forward-deployed specialists who embed directly with clients to automate real workflows. We sit at the intersection of deep finance domain knowledge and cutting-edge AI engineering — closing the gap between what AI can do and what funds are getting out of it. Role Overview We're building a small, elite team of Applied AI Analysts – seasoned finance practitioners from fundamental research, data science, and portfolio and risk management—who will work with our clients to understand their workflows and help them fundamentally transform them with our platform. This is a finance role at the frontier of AI adoption. When a client engages us, they get an AI platform deployed in their cloud – their data, their environment, their governance. Your job is to sit alongside their investment professionals, understand how they work, and build AI workflows within that platform to transform how they operate. You'll also serve as one of the sharpest feedback signals we have – surfacing what's working, what's missing, and what should be built next, and partnering with product and engineering to shape the platform accordingly. Key Responsibilities * Embed with clients and drive AI-led workflow transformation. Work on-site with PMs and research analysts to understand how they work today, identify high leverage opportunities for automation and augmentation, and build production grade AI workflows that transform their processes. * Translate client workflows into skills, agents, and connectors. Partner with our engineering team to convert what you learn on the ground into new data connectors, skills, and agents. You're the bridge between "how investment teams think" and "how the platform is built", and your domain fluency is what makes that translation meaningful and precise. * Contribute to the product feedback loop. Be a daily power user of our platform and bring structured, actionable feedback to our product team for new features. You'll be one of the sharpest signals we have on what's working, what's missing, and what to build next. * Build our knowledge base for your domain. Contribute to our skill and agent library of best-in-class research, risk, operations, data science, and technology best practices. These skills are designed to work collectively as a single knowledge base for AI to connect technology, data, research, risk, and trading into a single platform. You are responsible for building the playbooks that we can deploy and continuously improve across every client relationship. Requirements: 3 - 7 years of experience in a core equity research function at a top tier hedge fund, asset manager, sell side research, RMS vendor platform, or institutional investment fund (Mandatory)Demonstrated track record in a core equity research function such as fundamental research, quantitative research, or data science at a top tier financial institution (Mandatory)Multiple hands-on projects building with AI (e.g., GitHub repository of skills built for research, various side projects, and other demonstrated practical AI interests) (Mandatory)Experience across multiple investment disciplines (e.g., both research and risk, or research and quantitative methods) or client-facing / forward-deployed experience (Nice-to-have)Avid user of AI tools (genuine integration into workflows vs experimentation) and have strong views on what works, what breaks, and where the leverage is (Mandatory)Hands-on experience leveraging financial data vendors (e.g., Bloomberg, Visible Alpha, FactSet, PitchBook, CapIQ, or similar) (Mandatory)Technical proficiency with data APIs or MCP connectors, SQL/Python for data processing, core libraries, and/or agentic AI frameworks (Nice-to-have)Ability to build trust quickly, ask the right questions, and navigate unstructured conversations with senior investors and C-suite execs at top hedge funds (Mandatory)Why you should join us * Career Reinvention Without Starting Over – This role is for research analysts who love the intellectual rigour of fundamental equity research but have grown frustrated with the grind: the long hours, the tedious manual processes, and the limited upward trajectory beyond portfolio management. We let you leverage everything you have built across your research career while shedding the parts that make the job unsustainable. You are not pivoting away from finance – you are redefining what finance work looks like in the AI era. * Skip the AI Adoption Lag – Most hedge funds are still years away from meaningfully integrating AI into their core investment workflows. If you believe AI will transform how research gets done and are tired of waiting for your firm to catch up, we put you at the frontier of that transformation today. You will not be experimenting on the side or lobbying for internal adoption – building and deploying AI-powered research workflows is the job. * Genuine Ownership and Direct Access to Decision-Makers – With a lean team and no layers of bureaucracy, individuals at all levels are trusted to drive decisions and outcomes – with scope meaningfully broader than at larger or more structured organisations. That same flatness extends to the client side: you are working on-site directly alongside heads of research and C-suite executives at some of the most sophisticated hedge funds in the world. That level of visibility is extremely difficult to access from a traditional analyst seat, and it compounds over time. * Ground-Floor Team With Real Momentum – We are building this forward-deployed analyst function from scratch and looking to scale from one or two people to five as quickly as possible. Joining now means you are not slotting into an established team with rigid processes – you are helping define the playbook for how AI adoption gets delivered to institutional investors. * Bootstrapped, Post-PMF, and Built to Last – We've reached $10M+ ARR with a lean team and no external funding – a strong signal of genuine product-market fit built on real revenue, not VC runway. There are no externally imposed milestones or investor pressure dictating the roadmap. For candidates who want to join at the most exciting inflection point – where the product has proven itself but the scaling is still ahead – this is a rare opportunity to have outsized impact and grow alongside the business as it enters its next phase. * R&D Culture Within a Commercial Business – The company operates like a hybrid between a SaaS startup and an R&D team – constantly evaluating new developments in AI and accommodating the roadmap accordingly. Engineers are not just building towards a fixed vision; they are actively contributing to how that vision evolves. The culture values curiosity, craft, and elegant solutions to genuinely hard problems. * Calibre of the Team – The engineering team brings experience from some of the most demanding institutions in finance and technology – Citadel, Goldman Sachs, Millennium, and D.E. Shaw. For candidates who care about the quality of the people they work alongside and who they can learn from, this is a meaningful signal.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Data Science Experts Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research and engineering teams on data science methodology, statistical inference, and modeling best practices., • Design challenging data science tasks and write accurate, well-structured analytical solutions., • Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear written technical feedback to improve correctness and rigor., • Develop guidelines and evaluation frameworks to assess the quality of statistical reasoning, ML pipeline design, and data analysis approaches. Must-Have • 3+ years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Upload resume, • AI interview based on your resume #hiringmercor

Job Description About Wonder Everything’s on the menu at Wonder. Except compromise. Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix and match hundreds of dishes from 20+ exclusive restaurants in a single order, so everyone gets exactly what they’re craving. Enjoy everything from tacos to Thai with $0 delivery fees, plus dine-in or pick up at a Wonder location near you. Each dish is made to order on-site by our culinary team and served hot. Behind the scenes, Wonder owns and operates every step of the dining experience, from recipe development to the technology that powers our experience, allowing us to deliver quality, variety, and consistency at scale. Join us as we work to make great food more accessible. About the Role Wonder is looking for a high-impact Senior Product Manager (Technical) to own and evolve our store planning and simulation systems. This role sits at the intersection of forecasting, simulation, and replenishment execution. You will own a core simulation tool that translates our demand forecast into DC-to-store replenishment decisions – modeling expiry, pack-size constraints, and operational realities. The output of this system feeds our inbound DC ordering. This is a hybrid role designed for either: * A highly technical Product Manager comfortable building analytical POCs, or * A business-facing developer / applied scientist who wants product ownership In this role, you will define how success is measured, establish baseline performance, and guide engineering implementation. You will own key operational metrics (in-stock & waste) that materially impact Wonder’s unit economics, as we evolve our planning systems to support rapid growth and IPO-scale operations. This role reports to the Director, Forecasting & Planning (Product). Key Responsibilities Wonder’s planning systems are the backbone of our supply chain – driving outbound orders to our stores, and inbound orders to our DCs (from internal production and 3P vendors). Our planning pipeline consists of: 1. Store demand forecast, 2. DC-to-store replenishment simulation (+ store ordering), 3. Vendor-to-DC ordering (3A: Wonder production + 3B: External 3P procurement) You will have accountability one or more parts of this platform, with room to grow and increase responsibility. Performance Measurement & Accountability * Own performance: Own & report on key operational metrics, e.g. planning-driven in-stock & waste – at business-relevant granularities * Establish a baseline: Build & maintain a naïve/baseline DC-level forecast or heuristic to quantify simulation performance (“how much value are we adding”?) * Analyze with an owner-mindset: Deep-dive/RCA system performance across stores and SKU groups (e.g. cold-start products) to inform development areas Shape Technical Direction * Own the feature development lifecycle: Set the roadmap for your planning domain, and translate POC learnings into clear product & tech requirements * Design and build analytical POCs: Lean on your technical capability to test new logic, heuristics, or modeling approaches before tech implementation * Guide Engineering/DS team: Once POC performance has been proved – partner with tech colleagues to guide scalable, production-ready solutions Cross-Functional Leadership * Communicate impact & insights: Explain system behavior, trade-offs, and results to technical and non-technical stakeholders (including ops leadership) * Cross-functional alignment: Partner closely with Supply Chain Ops & Analytics to help teams understand planning logic, and ensure business decisions are informed by data-backed reality The Experience You Have * 5-8+ years in Product Management, Applied Analytics, or Supply Chain development, with meaningful exposure to planning & replenishment systems * Experience operating in a business-facing role with accountability for operational results * Strong analytical instincts – ability to work with data and models (not just requirements) within a complex, technical domain * Strong understanding of forecasting & ordering logic, ideally in food/perishables or other constrained supply chains * Fluency with analytical tools (we use BigQuery, GCP + Looker) to evaluate performance at scale (note: strong SQL is a key requirement) * Comfort building POC models (SQL or Python-based) to evaluate performance, explore system behavior and validate ideas The Way You Work * You have an ownership mindset and are comfortable being accountable for outcomes, not just delivery * You enjoy operating at the intersection of technology and business – either as a tech-forward PM or a business-forward builder – and can translate fluently between technical constraints and operational reality * You care about building products that deliver measurable business value – not just theoretical improvement * You bring structure to complex, ambiguous problems and turn them into testable hypotheses and clear decisions * You have a strong bias toward action, rapid learning, and continuous improvement New York: $149,000 - $165,500 per year. Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience. Benefits We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed. A Final Note At Wonder, we build the best teams by hiring with an objective lens — evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know. We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who we’re seeking Qvest is seeking an experienced Senior Solution Architect to join our dynamic consulting team specializing in Media & Entertainment. The ideal candidate will have deep expertise in media systems, content supply chains, and broadcast workflows, and a proven track record of designing scalable, modern, and efficient media technology architectures.As a key technical leader, you will engage with major broadcasters, studios, and media platforms to design innovative solutions across content creation, post-production, playout, OTT delivery, and archive. You will collaborate closely with clients, product teams, and systems integrators to modernize legacy environments and architect next-generation solutions in cloud and hybrid ecosystems.What you'll do • Lead architectural design and technical strategy for complex M&E system implementations across linear broadcast, OTT, and digital platforms., • Translate business requirements into end-to-end media workflows and technical architectures., • Design integrations across diverse media systems including MAM, PAM, playout automation, encoding/transcoding, and cloud storage platforms., • Serve as a trusted advisor to media clients, supporting digital transformation, cloud migration, and technology modernization initiatives., • Evaluate and recommend tools, platforms, and technologies aligned to client use cases and industry best practices., • Oversee and review system architecture documentation, data flow diagrams, and interface specifications., • Guide technical delivery teams and partner vendors, ensuring successful execution of designs and alignment to architecture principles., • Participate in pre-sales engagements, contributing to RFP responses, client pitches, and solution estimations.What you’ll bring, • 10+ years of experience in media systems architecture, solutions engineering, or consulting within the Media & Entertainment industry., • Proven expertise in broadcast workflows, including playout, signal chain, live production, and newsroom integration., • Deep knowledge of media formats (e.g., IMF, MXF, ProRes, XDCAM, HLS, MPEG-DASH, JPEG2000) and codec standards., • Experience designing file-based and live workflows across ingest, QC, metadata management, versioning, and delivery., • Strong understanding of key M&E technologies:, • MAM/PAM systems: Avid, Dalet, Vizrt, Cantemo, Sony Hive, CatDV, • Playout automation: Grass Valley Morpheus, Ross OverDrive, Viz Mosart, Evertz Overture, • Transcoding/workflow orchestration: Telestream Vantage, AWS Elemental, Harmonic, Signiant, Aspera, • Cloud platforms: AWS Media Services, Azure Media Services, GCP, Object Storage (S3, Blob), • Streaming & OTT: DRM, HLS/DASH packaging, CDNs, SSAI/DAI, • Experience with hybrid cloud and cloud-native architectures (especially AWS or Azure) for media pipelines., • Familiarity with media metadata schemas (e.g., EBUCore, XMP, IPTC, Dublin Core) and industry standards like SMPTE ST 2110, SMPTE 2022, SCTE 104/35, DPP., • Proficiency with workflow modeling and tools such as BPMN, Visio, Lucidchart, or UML., • Strong client-facing communication and presentation skills., • Ability to navigate complex technical conversations with both engineers and business stakeholders., • Comfortable operating in a fast-paced, consulting environment with multiple stakeholders., • Thought leadership and passion for emerging trends in media technology.Preferred, • Experience working with or consulting for broadcasters, studios, or large media platforms., • Hands-on experience with production environments including Newsroom Computer Systems (NRCS), studio automation, or live control rooms., • Certification in AWS (e.g., AWS Solutions Architect Professional) or relevant cloud certifications., • Experience with Agile and DevOps methodologies, CI/CD pipelines in media workflows., • Knowledge of AI/ML applications in media (e.g., auto-tagging, QC, speech-to-text) is a plus.Travel RequirementsEmployees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region. Remote & Hybrid WorkWhile remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive. Life at QvestWe were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel." Equal Employment OpportunityQvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

Job Description We’re hiring a Head of AI Product & Architecture Consulting! Employment Type: Full-Time/Direct Hire Location: Richmond, VA, Atlanta, GA, Washington, DC, New York City & Charlotte, NC Metro Areas Location Type: Hybrid - 1-2 days onsite per week - Home Office/Local Ippon office About Ippon: The Ippon story started in 2002 in Paris, France - cue in the accordion. Our founder and CEO Stéphane Nomis used his unique experience as an international Judo champion to create a culture based on the sports values of ambition and excellence. Our USA Headquarters office is located in Richmond, VA, with additional offices in New York, NY, Washington DC, and Atlanta, GA. We are a technology consulting firm that specializes in helping accelerate our client’s digital roadmap in the areas of Product Management, Cloud, DevOps, Data, AI, and Software Engineering. Expanding partnerships is the top priority in our strategy, and we are proud to be a Premier Snowflake Partner and an Advanced AWS Partner. Ippon stands out through its financial services industry expertise, technical excellence, and a distinctive coaching mindset. About the position: The Practice Head of AI Product & Architecture will lead Ippon's APA practice, combining deep expertise in software development, product engineering, agile delivery, architecture, and applied AI. This role is responsible for growing a high-performing consulting team, shaping the practice's methods and offerings, and ensuring delivery excellence across complex client engagements. The ideal candidate is a proven leader with strong consulting instincts and a track record of delivering meaningful technology outcomes. They bring deep grounding in modern engineering practices and software craft, alongside hands-on AI experience — applied practically across product development, software delivery, customer experiences, and enterprise operations. Roles and Responsibilities:Practice Leadership & Team Development * Lead and grow the practice across people, offerings, delivery standards, and market positioning. * Continuously improve consulting methods, delivery playbooks, technical standards, and ways of working in collaboration with Customer Success and Senior Leadership. * Build a strong team culture grounded in software craft, product thinking, architectural discipline, and practical AI adoption — with an emphasis on psychological safety, accountability, and measurable improvement. * Recruit, develop, coach, and retain high-performing consultants, engineers, architects, product leaders, and delivery practitioners. Delivery Excellence * Provide senior oversight across client engagements involving software development, product engineering, AI-enabled delivery, modernization, and architecture. * Ensure solutions are maintainable, secure, scalable, and aligned to client outcomes, promoting modern practices such as continuous delivery, test automation, observability, and platform thinking. * Use metrics such as DORA, flow metrics, and business outcome measures to drive evidence-based improvement. * Help clients adopt flexible, sustainable delivery models that balance speed, governance, quality, and business value — coaching cross-functional teams on effective collaboration across product, engineering, architecture, security, and compliance. AI Leadership * In collaboration with the CTO, shape APA's approach to applied AI across product engineering, software development, architecture, and delivery transformation. * Help clients identify and pursue practical AI use cases that improve delivery speed, product quality, customer experience, or operational efficiency. * Guide teams in the responsible use of AI-assisted development tools, agentic workflows, and intelligent applications, with clear understanding of associated risks including governance, security, privacy, and regulatory considerations. * Partner with Ippon's data and cloud leaders to connect APA's AI capabilities with strengths in AWS, Snowflake, and data architecture. Client and Thought Leadership * Support sales pursuits, proposals, and executive conversations — translating ambiguous client needs into clear engagement strategies, delivery plans, and measurable outcomes. * Act as a trusted advisor to senior client stakeholders at the intersection of product, engineering, architecture, data, cloud, AI, and governance. * Define and package APA offerings across AI-enabled product engineering, software modernization, delivery effectiveness, and engineering excellence. * Drive brand awareness through thought leadership initiatives including events, blogs, white papers, and client success stories. Competencies we are looking for: Minimum Qualifications: * 5+ years of consulting experience * 5+ years of experience leading software engineering, product engineering, architecture, or technology consulting teams. * 5+ years of experience building, managing, coaching, and growing high-performing technical teams. * 7+ years of experience and deep understanding of modern software development practices, including software architecture, software craft, DevOps, CI/CD, testing strategies, and cloud-native delivery. * 7+ years of experience with product development and product-oriented ways of working. * Strong working knowledge of agile delivery practices, with the judgment to adapt methods to fit client context rather than applying process mechanically. * Hands-on experience with AI tools, AI-enabled software development, intelligent applications, or applied enterprise AI use cases. * 7+ years of experience in financial services, banking, insurance, capital markets, or related regulated industries * Excellent organizational skills, including the ability to manage people, priorities, offerings, delivery quality, and practice operations simultaneously. * Strong client-facing communication skills, including the ability to engage credibly with executives, product leaders, engineering leaders, architects, and delivery teams. * Experience supporting business development, proposal creation, solution design, or account growth in a consulting environment. * Ability to travel up to 20% of the time Preferred Qualifications: * Bachelor's degree in Computer Science or a related field * Experience leading a consulting practice, capability, center of excellence, or large technology delivery organization. * Experience using DORA metrics, SPACE, flow metrics, or other engineering effectiveness frameworks to improve delivery performance. * Experience with AI-assisted development tools, agentic workflows, LLM-enabled applications, or enterprise AI governance. * Familiarity with AWS, Snowflake, modern data platforms, and cloud-native architecture. * Experience with modernization programs, legacy system transformation, platform engineering, or large-scale digital product delivery. * Experience creating market-facing offerings, white papers, executive presentations, workshops, and assessment frameworks. * Understanding of regulatory requirements and compliance standards (e.g., GDPR, HIPAA) within the Financial Services and Insurance industries. * Knowledge of IT strategy and management * Demonstrated experience of presenting talks at conferences, publishing white papers, and public speaking. What we offer: * Competitive salary – Great starting salaries for well qualified candidates * Generous Paid Time Off policy - Ippon offers flexible time off to help you be your best * Health, dental, and vision insurance – We are dedicated to helping our employees live healthier lives through comprehensive health programs * 401k with company match - Ippon offers an industry leading 401(k) matching plan * Family Leave - We support the importance of family and offer maternity, paternity and family medical leave plans * The chance to work in a startup-esque environment with a fun, smart, and healthy work environment, focused on our values, teamwork, and 5406 custom Slack emojis Salary range listed is base salary. Role is eligible for a company performance bonus, as well as MBO's. We value the diversity and different perspectives each of our employees bring to Ippon Technologies. Ippon Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, age, national origin, veteran, or disability status. Visit us on LinkedIn or at to learn more. So, do YOU speak Ippon?

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest US is seeking an experienced Senior Consultant in Rights Management to join our growing IP & Rights Management Consulting practice. In this role, you will help lead projects that optimize our clients' Rights Management systems, and help lead other technology and business consulting projects. We are looking for an organized and ambitious team member who will excel in a fast-paced environment, and who is passionate about content IP & Rights Management.What you'll do • Help guide project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment, • Conduct initial reviews of deliverables and give feedback, • Proactively identify risks and issues, and provide mitigation strategies, • Lead various client meetings such as stakeholder interviews and client workshops, • Build and maintain strong client relationships, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat you'll bring, • 3-5+ years System Implementation, SDLC, Integration, and Project Management experience, • 3+ years in consulting / professional services, big firm experience preferred, or Project Management experience at a non-consulting organization, • Subject matter expertise in content IP/Rights, especially in the Media & Entertainment space, • Familiarity with an SDLC methodology that covers requirements analysis, development, and delivery, • Experience with presentation and spreadsheet tools, such as PowerPoint, Excel, and Visio, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related fields, • Some experience in the following Rights Management areas:, • Rights management system implementation (e.g., Rightsline, RSG, Mediamorph, FilmTrack, Vistex), • Rights management in content acquisition / production management, publishing / distribution, and licensing, • Rights management experience with participations and/or residualsPreferred Experience, • 1+ year of experience in Media & Entertainment/Broadcast and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PwC)Travel RequirementsEmployees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region. Remote & Hybrid WorkWhile remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive. Life at QvestWe were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel." Equal Employment OpportunityQvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

Job Description:\n\nLantheus (NASDAQ: LNTH) is the leading radiopharmaceutical-focused company, delivering life-changing science to enable clinicians to Find, Fight and Follow disease to deliver better patient outcomes. Headquartered in Massachusetts with offices in New Jersey, Canada, Germany, Sweden, Switzerland and United Kingdom, Lantheus has been providing radiopharmaceutical solutions for nearly 70 years. Today, we’re expanding our portfolio and pipeline across oncology, neurology and cardiology. Through recent acquisitions, along with strategic partnerships across the life sciences ecosystem, we are accelerating our efforts to advance precision medicine and improve patient outcomes around the world. At Lantheus we are purpose-driven, and every employee plays a vital role in our success. We’re dedicated to cultivating a high-growth, forward-thinking culture where innovation thrives and diverse perspectives drive meaningful progress. Join us and be part of a company where your contributions make a real impact, because we know someone’s health is in our hands. Summary of role As a key member of the Lantheus Springfield manufacturing site senior leadership team, the Radiation Safety Officer (RSO) Associate Director provides Environmental, Health, and Safety and Radiation Safety leadership across radiopharmaceutical manufacturing (e.g., RLT, PET and isotope products). The RSO Associate Director provides visible leadership to foster a proactive safety culture, ensures compliance with applicable EHS (e.g., EPA, OSHA, DOT, and New Jersey Department of Environmental Protection (NJDEP)) and radiation (e.g., Nuclear Regulatory Commission (NRC) and New Jersey Radiation Protection Code) regulations and Lantheus' standards. The RSO Associate Director drives the prevention of injuries/illnesses and environmental releases and oversees the radiation safety program and licensed radioactive material activities in accordance with the site RAM License. This role also has the responsibility to oversee the licensing of Lantheus products for distribution in every state throughout the United States of America. This includes the applicable pharmaceutical manufacturing, warehousing, and distribution licensing required by each individual state regulatory body. This position is based in Springfield, New Jersey and requires a presence on-site 5 days per week, and open to applicants authorized to work for any employer within the United States. ResponsibilitiesProvide day-to-day EHS and Radiation Safety technical leadership for the Evergreen site ensuring environmental, health, safety, and radiation compliance with the applicable federal and state regulations. Measure, analyze, and improve performance to meet business objectives. Establish and govern key metrics (e.g., OSHA injury rate, near misses, safety observations, and EM performance) and use leading indicators to anticipate and mitigate risks to employee health and safety.Develop and maintain deep technical expertise in radiopharmaceutical manufacturing (RLT, PET and isotope products), including radioactive material handling and controls, radiochemistry/radiosynthesis, automated synthesis platforms, in-process controls, and analytical/quality procedures. Ensure technical knowledge is translated into robust procedures, training, and standardized ways of working to prevent health and safety risks and radiation exposure.Create and continuously improve the site EHS management system and compliance programs, including written programs, procedures, inspections, and governance routines that drive consistent execution.Develop, implement, and maintain site safety and environmental procedures and training (e.g., hazard communication, chemical hygiene, LOTO, confined space, hot work, PPE, waste handling, spill response) and verify effectiveness through audits and field observations.Own EHS recordkeeping and reporting, including OSHA 300/300A, incident/near-miss documentation, environmental monitoring records, waste manifests, and other required logs; analyze trends and communicate performance to site leadership.Lead incident management for safety and environmental events, including immediate response/notification, investigation, root cause analysis, corrective and preventive actions (CAPA), and effectiveness checks.Partner with Manufacturing, Engineering, and Facilities to implement safe work controls for routine and non-routine work, including contractor EHS oversight, pre-job risk reviews, permits (hot work/confined space), lockout/tagout, and job hazard analyses.Own site environmental compliance programs as applicable (e.g., air, wastewater/stormwater, hazardous waste, SPCC), including permit conditions, routine inspections, sampling/monitoring, submissions, and coordination with EPA, NJDEP, and other agencies.Manage chemical and waste stewardship, including hazardous waste accumulation areas, vendor oversight, manifesting, storage compatibility, spill prevention/response readiness, and periodic drills as required.Drive EHS engagement and capability building through onboarding and annual refresher training, safety communications, and coaching for leaders and employees; lead safety committees and routine site safety walks.Serve as key EHS and Radiation technical representative during regulatory interactions and inspections (e.g., EPA, OSHA, NRC, NJDEP and other agencies). Ensure sustained inspection readiness, effective responses to information requests, and timely completion of associated commitments. Maintain an understanding of, and up-to-date copies of: NRC and NJ DEP regulations.The RAM License.Current versions of procedures related to radiation safety.Ensure that radioactive material at the Springfield facility is limited to the types and quantities of the materials listed on the RAM License. Amend the RAM License whenever there are changes in licensed activities, responsible individuals, or information commitments provided to NJ DEP during the licensing process. Provide necessary information on all aspects of radiation protection to personnel at all levels of responsibility, according to the conditions of the license. Maintain physical security of RAM. Post documents as required by New Jersey Administrative Code (NJAC) 7:28. Implement control measures that limit radiation exposures As Low as is Reasonably Achievable (ALARA).Oversee proper delivery, receipt, use, and performance of radiation surveys for all shipments of radioactive material arriving at or leaving from the facility, as well as accurate packaging and labeling of all radioactive material leaving the facility. This includes monitoring and surveys of all areas in which radioactive material is possessed and used. Maintain any required records related to the safe use and transport of radioactive material, including, but not limited to:Shipping documentation.Survey and wipe test results.Personnel monitoring records.Effluent monitoring records.Instrument calibration reports.Incident reports.Radiation safety program audit reports.Distribute and process personnel radiation-monitoring equipment, determine the need for and evaluate bioassays, monitor personnel radiation exposure and bioassay records for trends and high exposure, notify individuals and their supervisors of radiation exposures approaching established limits, and recommend appropriate remedial action. Install, monitor, and replace facility or area dosimetry to appropriately manage and monitor radiation levels throughout the facility. Immediately terminate any unsafe condition or activity that is found to be a threat to employee or public health and safety or property. Supervise decontamination and recovery operations. Develop, implement, maintain, and distribute, as appropriate, up-to-date operating, emergency and security procedures. Conduct training programs and otherwise instruct all personnel in the proper procedures for handling radioactive material prior to possession and/or use, both at periodic intervals (refresher training), and as required by changes in procedures, equipment, and regulations.Supervise and coordinate the radioactive waste disposal program, including effluent monitoring and recordkeeping of waste storage and disposal. Oversee the storage of radioactive material not in current use, including waste. Perform or arrange for leak tests on all sealed sources and calibration of radiation survey instruments.Hold periodic meetings and provide reports to management as needed to ensure appropriate administration of the radiation safety program.Perform periodic audits of the radiation safety program to ensure compliance with:All applicable NRC and NJ DEP regulationsThe terms and conditions of the RAM License The content and implementation of the program to achieve occupational doses and doses to members of the public that are ALARA.The requirement that all records be properly maintained. Ensure that the results of audits, identified deficiencies, and recommendations for change are documented, provided to management for review, and ensure that prompt action is taken to correct deficiencies. Communicate audit results and corrective actions to all personnel who possess/use radioactive material. Ensure that all incidents, accidents, and personnel exposure to radiation in excess of ALARA or established limits are investigated and reported to the NJ DEP and other appropriate authorities as required and within the required time limits.Coordinate the PDMA application process for all Lantheus products distributed in the United States. Maintain state licensure to enable the distribution and sale of all Lantheus products in all 50 states. Basic QualificationsBA in a scientific discipline/AAS with a minimum of eight (8) years’ health physics and related EH&S experience, with a minimum of two (2) years’ experience as a Radiation Safety Officer highly preferred.Demonstrated working knowledge of applicable radiation safety regulations and guidance (e.g., NRC and New Jersey Radiation Protection Code), license conditions, and ALARA principles.Experience with radiation monitoring and contamination control practices, including performing/overseeing surveys, wipe tests, personnel monitoring/ dosimetry, and maintaining required records.Ability to lead response to radiological incidents/events, conduct investigations, implement corrective actions, and support required notifications and reporting to regulatory agencies within required timeframes.Must be able to meet the RSO qualification requirements specified by the site Radioactive Materials License and applicable regulatory agencies (or obtain qualification within an agreed-upon timeframe).Experience with hazardous/regulated waste and chemical management, including accumulation area requirements, waste characterization, vendor coordination, manifesting, and internal training/communication.Ability to lead or support environmental inspections and audits (internal and regulatory), identify gaps, and drive corrective and preventive actions (CAPA) to closure. Preferred QualificationsPrevious experience as a Radiation Safety Officer.Strong communication and training capability, including developing and delivering radiation safety training and partnering effectively with Manufacturing, Quality, Engineering, and Facilities.Experience supporting and maintaining environmental permits and compliance obligations (as applicable), including routine inspections, sampling/monitoring, recordkeeping, agency correspondence, and timely submittals.Working knowledge of key environmental regulatory programs applicable to a manufacturing site (e.g., EPA and NJDEP requirements related to hazardous waste/RCRA, air, wastewater/stormwater, chemical storage and spill prevention (SPCC), and emergency planning/right-to-know).Demonstrated capability to respond to and investigate environmental incidents/spills, coordinate containment/cleanup, complete required notifications, and implement sustainable corrective actions.Proven ability to influence and partner cross-functionally to integrate environmental requirements into operations and projects, communicate expectations clearly, and coach leaders and employees on compliant practices. Core Values The ideal candidate will embody Lantheus core values:Let people be their bestRespect one another and act as oneLearn, adapt, and winKnow someone’s health is in our handsOwn the solution and make it happen The pay range for this position is between $139,000 and $232,000 annually. Actual base pay offered may vary depending on a number of factors such as job-related knowledge, skills and experience. Employees in this position are eligible for a discretionary performance-based cash incentive, and depending on the level of the role may be eligible for a discretionary annual equity award. Benefits for this position include a comprehensive health benefits package that includes medical, prescription drug, dental, and vision coverage. Other offerings include life and disability benefits, pre-tax accounts, a 401(k) with company contribution, and a variety of other benefits. In addition, employees are eligible for a generous time off package including paid vacation, holidays, sick days, and paid parental leave. Interested candidates can apply at Lantheus.com. Applications for this position will be accepted until June 12, 2026. Lantheus is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, disability, protected medical condition as defined by applicable state or local law, genetic information, or any characteristic protected under applicable federal, state, or local laws and ordinances. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the Lantheus Talent Acquisition team at . Lantheus is an E-Verify Employer.

Job DescriptionAbout CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the Role We're hiring for an experienced ML-focused Data Scientist to own growth-oriented modeling across the customer lifecycle - acquisition, activation, retention, resurrection and monetization. You'll work alongside other data scientist to design, validate, and productionize statistical and ML systems (pLTV, churn/survival, uplift/incrementality, lookalikes, clustering/embeddings, NBA/ranking) that directly drive growth. This is a hands-on role for someone with strong mathematical/statistical foundations, broad modeling experience, and pragmatic MLOps chops who can lead experiments and partner closely with Marketing, Engineering, CRM, and Product. What you'll do… • Lifecycle modeling: Build and maintain predictive LTV, churn (including survival/time-to-event), order-rate, and resurrection models that feed acquisition, CRM, and retention strategies., • Acquisition & lookalikes: Create lookalike / propensity models for paid channels and audience construction; optimize CAC vs LTV tradeoffs., • Next-Best-Action & personalization: Develop NBA/ranking models, small-scale recommenders and embedding-based similarity systems to increase activation and orders., • Unsupervised & representation learning: Lead segmentation, clustering, embeddings and representation work that create actionable cohorts and features., • Production & MLOps: Own the full model lifecycle - training pipelines, CI/CD, model registries, containerized deployment, monitoring, retraining and drift detection; partner with engineers to operationalize models into CRM, marketplace and paid channels., • Model governance & reproducibility: Ensure models are well-tested, explainable, calibrated, and auditable; document assumptions, limitations and business mappings., • Cross-functional influence: Translate technical work into product recommendations, dashboards and clear narratives for Growth, Marketing and Engineering. Mentor peers and raise modeling and MLOps standards.Required qualifications, • 5-8+ years in data science, applied ML or statistics, with a track record of shipping production models., • Strong math & statistics: probability, inference, regression, survival analysis/time-to-event, causal reasoning, and familiarity with statistical modeling tradeoffs., • End-to-end ML experience: experience building, validating and deploying classification/regression/ensemble/deep models; comfort with embeddings and representation learning., • MLOps & production skills: pragmatic experience with model CI/CD, model registries (MLFlow or similar), containerization (Docker), orchestration (Airflow), and runtime infra (K8s / ECS)., • Software engineering & tooling: Python (pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow optional), strong code hygiene, testing and reproducibility., • Product & stakeholder collaboration: excellent communication, ability to embed with Growth/CRM/Marketing and translate models into product decisions., • Education: BS in a quantitative field required; MS/PhD in statistics, math, CS, economics or similar preferred.Nice-to-haves, • Experience in subscription marketplaces, food-tech, or consumer marketplaces., • Familiarity with feature stores, Snowflake/BigQuery, and production monitoring tools., • Experience with causal libraries (EconML), uplift frameworks, or survival modeling packages., • Prior work on small-scale recommender systems, embeddings, or NLP personalization. Learn More About CookUnity We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we're looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits 🩺 Health Insurance coverage 🌅 401k Plan ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$160,000—$185,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We’re SeekingQvest US is seeking an experienced Senior Consultant in Applied AI & Change Management to join our growing Applied AI practice. In this role, you will help lead several technology and business consulting projects ranging from the implementation of Applied AI technology solutions, to the formulation of organizational and process strategy, to PMO establishment. We are looking for an organized and ambitious team member who will excel in a fast-paced environment.What You'll Do • Help guide project teams through all core project phases of Applied AI implementation, including project setup, requirements gathering, design, development, testing and deployment., • Conduct initial reviews of deliverables and give feedback., • Proactively identify risks and issues, and provide mitigation strategies., • Lead various client meetings such as stakeholder interviews and client workshops., • Build and maintain strong client relationships., • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancement.What You'll Bring, • 3-5+ years Systems Integration, Implementation, SDLC, Project Management experience, • Experience implementing AI/ML/Applied AI systems, • 3+ years in consulting / professional services, big firm experience preferred, • 1+ years of experience with organizational change management (OCM), including creating strategies to shepherd an organization and stakeholders through a large-scale change, • Consistent exposure to end-to-end SDLC (requirements analysis, design, development management, testing and delivery), • Trained on process and/or technology methodologies (e.g. Lean Process Improvement, Six Sigma, Agile implementation, Waterfall model), • Experience working with a project team on at least 2 package or custom solution implementation projects, • Experience with presentation and spreadsheet tools such as PowerPoint, Visio, and Excel, • Bachelor's degree in engineering, information systems, computer science, business administration, or other related fieldsPreferred Experience, • Experience in Media & Entertainment and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC)Travel RequirementsEmployees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region. Remote & Hybrid WorkWhile remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive. Life at QvestWe were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel." Equal Employment OpportunityQvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

Job DescriptionCompany Description Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Job Description The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Cloud Computing. Lecturers are the primary instructors for courses and an invaluable component of the faculty community. This course introduces analytics students to applied cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications. Responsibilities * Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions. * Monitor and address student concerns and inquiries. * Evaluate and grade student work and assessments. * Conduct office hours. Qualifications Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements • Ph.D. in Computer Science, Software Engineering, or related field Solid knowledge and academic foundation in distributed computing, UNIX operating system fundamentals and shell programming * Experience with the Linux operating system, cloud virtualization and storage systems * 3+ years of professional experience with at least one of the commercial cloud services (Google Cloud Platform, Amazon Web Services, Microsoft Azure, or IBM Cloud) * Knowledge of Python programming language Preferred Skills & Experience * University teaching experience * Experience with setting up and configuring Google Cloud Platform services * Knowledge of distributed computing and orchestration frameworks, such as Apache Spark and Kubernetes Additional Information Please submit a resume inclusive of university teaching experience. Columbia University is an Equal Opportunity/Affirmative Action employer. All your information will be kept confidential according to EEO guidelines. Salary Range: $11,000-$13,000 per semester length course

Job Description About ASCAP The American Society of Composers, Authors and Publishers (ASCAP) is a membership association of more than one million songwriters, composers and music publishers, and represents some of the world’s most talented music creators. Founded and governed by songwriters, composers and publishers, it is the only performing rights organization in the U.S. that operates on a not-for-profit basis. ASCAP licenses a repertory of over 20 million musical works to hundreds of thousands of businesses that use music, including streaming services, cable television, radio and satellite radio and brick and mortar businesses such as retail stores, hotels, clubs, restaurants and bars. ASCAP collects the licensing fees; identifies, matches and processes trillions of performances every year; and returns nearly 90 cents of every dollar back to its members as royalties. The ASCAP blanket license offers an efficient solution for businesses to legally perform ASCAP music while respecting the right of songwriters and composers to be paid fairly. ASCAP puts music creators first, advocating for their rights and the value of music on Capitol Hill, driving innovation that moves the industry forward, building community and providing the resources and support that creators need to succeed in their careers. Learn more and stay in touch at , on X and Instagram @ASCAP and on Facebook. Job Overview: We are seeking a Director, Finance and Operations to serve as a strategic finance partner responsible for driving enterprise-wide financial planning, forecasting and decision support. Reporting to the SVP, Finance and Operations, this role will partner closely with executive leadership and cross-functional stakeholders to deliver actionable financial insights, enhance planning rigor, and support informed business decisions. The ideal candidate combines deep FP&A expertise, strong business acumen and a process-oriented mindset with the ability to influence outcomes through analysis, storytelling, and partnership. This is a hybrid position with a 3 day per week in-office requirement based out of the ASCAP New York headquarters. Areas of Responsibility & Accountability: • Lead the company’s annual budgeting, quarterly reforecasting, and long-range planning processes, ensuring alignment between strategic priorities, operational drivers, and financial outcomes., • Partner with business stakeholders and senior leaders across the organization to deliver responsive ongoing business decision support and scenario planning., • Provide timely, variance and cause-of-change analysis identifying not only the numerical cause, but the narrative behind the numbers., • Participate in creation of departmental annual budget presentations ensuring a level of analytical rigor and consistency across the organization., • Lead efforts to track ongoing on account and retainer balances at vendors across the organization., • Serve as a key contributor to FPA-related system implementations and enhancements, including planning, project reporting, procurement, and reporting tools., • Identify and advise on opportunities to improve financial planning, forecasting, and close processes to increase accuracy, efficiency, and scalability., • Collaborate with Executive Leadership and other organizational stakeholders to ensure business risks and opportunities are accurately captured in financial plans and communicated to executive management., • Provide ad hoc financial and operational analysis in support of evolving business needs and executive requests. Qualifications and Requirements: • Bachelor’s degree in Accounting, Business Administration, Finance, Applied Mathematics or a related field., • Masters in Business Administration, prior Big Four audit or management consulting experience a plus., • At least ten (10) years of progressive finance and accounting experience., • U.S. Certified Public Accountant (CPA) or U.S. Charted Financial Analyst license a plus., • Significant experience in FP&A, financial modeling, executive-level reporting, process improvement and systems implementations., • Experience within a global Media Entertainment company a plus., • Strong understanding of revenue recognition principles, revenue management, expense planning, project accounting and capital budgeting., • High proficiency in Excel (pivot tables, advanced Excel formulas) with experience with financial dashboards or automation tools a plus., • Experience interfacing with multiple organizational functions including Finance, Operations, Compliance, IT / Engineering, Marketing, Strategy, Revenue, etc., • Relationship building skills; and ability to partner with key internal stakeholders, learn quickly and possess the desire to be flexible and strategic., • Exemplify the highest degree of professionalism acting as a trusted advisor, • Excellent verbal and written communication skills with the ability to present complex and sensitive issues to Executive Leadership and explain financial information to non-finance stakeholders., • Ability to multitask, as well as assess and change priorities., • Excellent attention to detail, organizational skills, and ability to meet deadlines., • Ability to work well individually, and in teams, share information, support colleagues and encourage participation and continuous improvement. Compensation/Benefits: Besides providing a unique and dynamic work environment, there are a few other reasons you should consider ASCAP in your career planning. We also offer generous benefit options that are comprehensive and provide the flexibility that most employees want and need. These health care and financial plan options include the following: • A choice of either network-only provider medical and dental plans or more flexible medical and dental plans where you can see providers in or out-of-network, • Vision plan that offers both in and out-of-network provider options, • 401(k) Plan that offers pre-tax, Roth, and an after-tax employee contribution option which includes a company match., • An additional employer paid discretionary profit share contribution, regardless of your participation in the 401(k) Plan, • Generous time-off policy, • 12 company holidays, • Health care and dependent care flexible spending accounts, • Short-term disability insurance/salary continuation and long-term disability insurance, • Company provided basic life and accidental death and dismemberment insurance, • Employee gym discounts at select gyms, • Commuter benefits, • Voluntary pet health insurance, • Voluntary auto and homeowners insurance, • Voluntary employee, spouse, and dependent life insurance options The anticipated base salary range for this position is $140,000 to $170,000 and will be determined on an individualized basis depending on several factors that are unique to each candidate including geographic location (due to differences in the cost of labor), skills, education and prior relevant experience.

Job DescriptionWhat We Offer: Our excellent salary and benefits package includes medical, dental, vision, life insurance, short and long-term disability coverage, education reimbursement, 401(k), performance bonuses, and an employee stock program. Employee Resource Groups and Programs offered include the Young Professionals Group, Women at Wade Trim, Diversity, Equity and Inclusion, Professional Development, Leadership Development, Rotation Program, Mentor Program, Sustainability Program, and Wellness Program. Position Description: We are seeking a Water Infrastructure Engineer to join our team in New York, NY. This role will lead technical design and delivery for pump station and wastewater capital projects, including new facilities and rehabilitations. Candidates must hold an active Professional Engineer (PE) license and have 10–15+ years of relevant experience with pump station and wastewater system design. The ideal candidate will demonstrate strong leadership in multidisciplinary teams, deep knowledge of pumping system components and controls, and experience developing plans, specifications, and estimates for municipal clients.Typical responsibilities include: • Provide technical planning, design and construction support on various wet weather projects that may include pump station, combined sewer overflow, collection system, water, stormwater, hydrologic and hydraulic models, and/or other water/wastewater projects, • Serve as Design Lead/Deputy PM on pump station capital projects., • Support mentoring, standards, and QA/QC across pumping systems work., • Prepare engineering calculations and supporting analysis of alternatives, • Prepare and evaluate wet weather control alternatives, • Develop and complete applications, permits, engineering reports and specifications, • Prepare and review engineer estimates, • Prepare design cost estimates, • Conduct research and development for projects, • Monitor task budget and progress, • Prepare project status and other reports, • Communicate project details with other design engineers, • Conduct project cost reviews, • Promote sales, • Prepare and review scope, budget, and schedule for project tasks, • Assist with proposals, marketing, project reports, and technical presentations, • Conduct on-site inspections as needed, • Attend and/or conduct client and project meetings, • Attend various meetings including pre-design, plan review, pre-construction, professional organization, staff, etc., • Attend seminars and/or training classes, • Maintain excellent client relations, • Maintain a safe working environmentEducation:, • Bachelor's degree in Civil, Environmental or Mechanical EngineeringSkills/Experience:, • Active Professional Engineer (PE) license., • 10–15+ years of relevant experience with pump station and wastewater design (new and rehabilitation)., • Demonstrated ability to lead technical delivery and coordinate multidisciplinary design teams., • Strong knowledge of pump station components and systems (wet wells, pumps/valves/piping, odor control/ventilation as relevant, standby power, SCADA/I&C interfaces), • Experience developing plan, specification, & estimate packages and navigating reviews with municipal clients., • Experience with rehabilitation/retrofit work: constrained sites, phased construction, maintaining operations, bypass pumping concepts., • Familiarity with surge/transient analysis tools or coordination of transient evaluations., • Construction administration and commissioning/startup experience for pump stations., • Prior work with large municipal agencies and capital programs (NYC-region experience a plus)

Job Description COMPANY: Canoe Intelligence WEBSITE: TITLE: Sr. Machine Learning Engineer LOCATION: New York City or London (hybrid) / Fully Remote in the United States or United Kingdom SALARY: $180,000 - $220,000 (based on NYC, will be adjusted for geo) The Role: We are looking for a Senior Machine Learning Engineer to design and deploy models that make sense of highly complex, unstructured financial documents, enabling us to deliver data with unprecedented accuracy, speed, and trust. You’ll work hands-on with LLM and other ML Models, helping scale Canoe’s platform while shaping how alternative investment firms interact with their data. What You’ll Do: * Design, train, and evaluate ML models for document classification, entity extraction, summarization, and information retrieval. * Fine-tune and optimize large language models for domain specific use cases, optimizing their performance for accuracy, efficiency, and scalability. * Work closely with data engineering teams to preprocess and engineer features from large datasets to enhance the performance of machine learning models. * Build scalable, production-ready ML services with strong observability, monitoring, and retraining capabilities. * Contribute to Canoe’s MLOps stack, including CI/CD for models, feature stores, evaluation frameworks, and data versioning. * Collaborate with product managers, software engineers, and other stakeholders to integrate machine learning models into end-to-end solutions. * Stay current with advancements in LLMs, Agentic AI, and ML, and translate new research into practical improvements to Canoe’s technology stack. * Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team. What We’re Looking For: * Minimum of 5 years of experience in applied ML engineering, with a focus on NLP, information extraction, or LLMs. * Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). * Strong understanding of MLOps (Docker, Kubernetes, CI/CD for ML, experiment tracking). * Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code agent) to accelerate software development, prototyping, testing, and deployment of ML solutions. * Problem-solver with a product mindset and bias toward outcomes. * Excellent communication skills; able to partner across engineering, product, and business teams. * Comfortable in fast-paced, agile startup environments. * Bachelor’s degree in computer science or related field. Preferred * Master Degree or PhD in computer science or related field * Experience in training and deploying large language models. * Familiarity with cloud computing platforms and distributed computing. * Familiarity with modern ML Ops tools such as Modal, Weights and Biases, Sagemaker, etc. * Experience with LLM fine-tuning techniques such as LoRA, QLoRA, or parameter-efficient training frameworks (e.g., Unsloth). * What You’ll Get: * Medical, dental, vision benefits * Flexible PTO * 401(k) * Flexible work from home policy * Home office stipend * Employee Assistance Program * Gym/Wifi reimbursement * Education assistance * Parental Leave Our Values: * Client First —> Listen, and deliver client-centric solutions * Be An Owner —> Take initiative, improve situations, drive positive outcomes * Excellence —> Always set the highest standard for yourself and others * Win Together —> 1 + 1 = 3 Who We Are: Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm. Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

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 opportunityAs an ML Engineer at Radical AI, you will be responsible for developing machine learning systems, data pipelines, and large-scale training infrastructure. You will orchestrate entire machine learning lifecycles, but also data ingestion, enrichment, model exporting and serving, and much more. Your work will directly impact the development of an end-to-end AI-driven approach to materials discovery and development. Positions are available at various levels of seniority: Senior, Staff, and Principal.Mission • Develop, train, and deploy machine learning models to solve complex problems in materials science and lab automation., • Experiment with cutting-edge ML algorithms and techniques to improve performance and scalability., • Collaborate with researchers on the pre- and post-training stages of model development., • Conduct production-level deployments of our machine learning models and infrastructure., • Continually evaluate model performance and maintain production integrity., • Ensure reproducibility and traceability of models by leveraging version control systems and orchestration tools., • Contribute to research initiatives and participate in knowledge-sharing across teams., • Document workflows, experiments, and deployment procedures for future reference., • 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, Engineering or a closely related field, or equivalent practical experience., • Proven record of accomplishment in building machine learning systems, working with large generative and/or language models, • An excellent understanding of machine learning infrastructure and systems fundamentals., • Strong background in algorithms, data structures, and software engineering principles., • Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching., • Proficiency in Python and relevant ML libraries (e.g., PyTorch), as well as tools for deploying ML models (e.g., MLflow, K8s, Docker)., • Passion for staying current with the latest trends in AI/ML technologies., • Excellent collaboration and communication skills, capable of articulating complex technical ideas clearly and effectively.Pluses, • Familiarity with distributed computing frameworks such as Ray, Spark, etc., • Strong fundamental knowledge and practical experience using Linux systems, including working with large-scale computing clusters., • Hands-on experience with MLOps tools (e.g., Kubeflow, Seldon, CI/CD pipelines for ML)., • Familiarity with serverless architecture and cost optimization for ML workflows., • Strong publication record in top-tier AI/ML conferences or journals.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description About impact.com impact.com is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L'Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results. Your Role at impact.com: We're seeking a Data Scientist to help build the next generation of recommendation systems powering our partnership automation platform. Our ecosystem connects a rich set of entities—advertisers, media publishers, creators, products, and consumers—and the relationships between them are where the real value lives. Your work will help surface the right partnerships, the right products, and the right content across this network at scale. You'll contribute to evolving our recommender stack toward a graph-based architecture leveraging semantic embeddings of entities and their relationships, applying cutting-edge techniques in representation learning, graph ML, and retrieval. The system needs to serve recommendations both in batch and real time, respond to dynamic user inputs, drive measurable value for end users across the platform, and remain reliable as the ecosystem grows. This role is hands-on and end-to-end. You'll own modeling and experimentation work for a defined area of the recommendation stack—from problem framing through productionization—in close partnership with Engineering, Product, MLOps, and Business Stakeholders. You're expected to bring (or actively develop) ML engineering chops so you can take a solution from prototype to production, and to be a relentless user of AI coding agents to multiply your output and accelerate iteration. What You'll Do: Core Responsibilities Multi-entity recommendations across the partnership graph Design, build, and evaluate recommendation models that operate across heterogeneous entities—advertisers, publishers, creators, products, and consumers—and the relationships between them. Frame problems in terms of the partnership graph and apply techniques appropriate to each surface, including candidate generation, ranking, reranking, and personalization. Graph-based modeling & semantic embeddings Contribute to evolving our architecture toward graph-based approaches: learn semantic embeddings of entities and relationships, apply graph neural networks or attention aware graph transformer models where they add value, and build representations that generalize across surfaces and use cases. Stay current with cutting-edge techniques in graph ML, representation learning, and modern recommender architectures, and bring relevant ideas into the platform. Batch and real-time serving Build models and pipelines that serve recommendations in both batch and real-time contexts. Partner with Engineering on retrieval infrastructure, vector search, feature stores, and low-latency serving patterns. Make pragmatic tradeoffs between model sophistication, latency, cost, and freshness based on the surface and use case. End-to-end ML delivery & ML engineering Own the full lifecycle of your work: data and feature design, model development, evaluation, launch, monitoring, and iteration. Build production-grade pipelines, write code that other engineers can extend, and partner with MLOps on reproducibility, observability, and reliability. Use AI coding agents aggressively to accelerate prototyping, refactoring, debugging, and shipping—we expect this to be a core part of how you work, not an occasional aid. Experimentation & measurement Design offline evaluation (offline replay, counterfactual evaluation, holdout sets) and online experiments (A/B tests, holdouts, interleaving) to quantify model impact. Apply appropriate statistical methods, recognize common pitfalls in recommender evaluation (position bias, feedback loops, selection effects), and translate results into clear recommendations for product and engineering partners. Cross-functional collaboration Work closely with Product, Engineering, and Business Stakeholders to translate platform goals into measurable model outcomes. Communicate findings, tradeoffs, and recommendations clearly to both technical and non-technical audiences. Document your work so that models, features, and decisions are understandable and reproducible by others. What You Bring: • 3+ years of experience in data science / applied ML, with a track record of shipping production models that delivered measurable user or business impact., • Strong Python and SQL skills; experience working with large-scale data and distributed compute (Spark/Databricks or equivalent)., • Hands-on experience building recommendation or ranking systems—candidate generation, learning-to-rank, retrieval and reranking, or implicit feedback modeling., • Experience with embeddings and representation learning for users, items, content, or other entities., • ML engineering capability (or strong willingness and demonstrated ability to develop it): you can build, ship, and maintain production pipelines—not just prototypes in notebooks., • Strong experimentation skills: designing and analyzing A/B tests, interpreting results, and communicating findings to stakeholders., • Relentless user of AI coding agents in your day-to-day workflow, with a clear sense of where they accelerate you and where they don't., • Insatiable curiosity about new techniques, architectures, and tools—and a track record of teaching yourself things quickly. You read papers, try new tools, and bring ideas back to the team., • Strong problem-solving instincts and the ability to operate with growing autonomy in ambiguous, evolving spaces.Preferred / Nice to have, • Experience with graph-based ML: graph neural networks (KGAT, transformers or similar), graph-aware retrieval, or knowledge graph embeddings., • Experience with modern deep learning recommender architectures (two-tower, sequence/transformer-based recommenders, multi-task ranking)., • Familiarity with vector search and vector databases (FAISS, ScaNN, Vespa, Milvus, or similar) and approximate nearest neighbor methods., • Experience with real-time ML serving, feature stores (Feast, Tecton, or equivalent), and low-latency inference patterns., • Exposure to contextual bandits, reinforcement learning, or off-policy evaluation in recommendation settings., • Familiarity with PyTorch/TensorFlow and PyTorch Geometric / DGL for graph workloads., • Familiarity with GCP (Vertex AI, BigQuery, Cloud Run) and/or mature MLOps practices (CI/CD for ML, monitoring, drift detection)., • Experience in adtech, martech, e-commerce, or two-sided/multi-sided marketplace recommendations.What Sets You Apart, • You think in terms of user and business outcomes, not just model metrics, and you connect modeling choices to real value delivered through the platform., • You're rigorous about measurement but pragmatic about shipping—able to deliver MVPs and iteratively evolve them into durable production systems., • You're a relentless learner. New papers, new tools, new architectures—you find them, try them, and figure out where they fit. You don't wait to be told what to learn., • You use AI coding agents like a power user: they're a force multiplier in your hands, not a crutch., • You have engineering instincts—you care about code quality, system design, and operability, not just model performance., • You're comfortable with messy data, noisy feedback, edge cases, and ambiguous problem spaces, and you excel at iterative improvement. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Benefits and Perks: At impact.com, we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance. • Medical, Dental, and Vision insurance, • Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled, • Flexible spending accounts and 401(k), • Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life., • Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health., • A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval., • Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses., • Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver., • Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors. #LI_NewYork

Job Description Design Engineer I New York, NY About Sherwood Design Engineers Sherwood is a civil and environmental engineering firm that is committed to investing in and embracing people, communities and the environment. Our team has delivered net zero energy and net zero carbon systems, net positive water systems, resilient coastlines, natural resource protection, green streets, living roofs and more for thousands of clients in the region and across the globe. We specialize in sustainable infrastructure, water management strategies, green building design, and systems based solutions for infrastructure and landscapes. Our focus is on the conservation and management of the consumption of all site resources — carbon, energy, water, and waste. We’ve worked on over thirty award-winning projects, and our work has been published locally and internationally. Founded in 2003, our award-winning projects include Hudson Yards in New York (the largest private real estate development in U.S. history), San Francisco Better Streets Plan, Greater New Orleans Urban Water Plan, revitalization of the iconic waterfront Brooklyn Bridge Park, and the 35 square-km Baietan Urban Area Plan in the heart of Guangzhou, China. Our mission is to engineer an environmentally and socially regenerative planet. Will you join us? Role Summary At Sherwood Design Engineers, we value collaboration that incorporates multiple perspectives, and believe that diverse ideas produce more robust and equitable solutions. We have an amazing opportunity for a driven and curious Design Engineer focused on land development design to support our team. Minimum Skills • Typically industry internship experience, • Bachelor’s degree in Engineering - Civil and/or Environmental, • Exercises sound judgment on details of work and in application of standard methods for conventional and innovative work., • Ability to work with multiple site base files oriented in different coordinate frames and varying units., • Ability to read, understand and design topographic information., • Working knowledge of Windows, MS Office, and cloud-based collaboration software (Google Apps, Asana, Dropbox, Sharepoint, etc.), • Proficient in AutoCAD Preferred Skills • Knowledge of civil design programs (Civil 3D, HydroCAD, Flowmasters, StormCAD, etc), • Knowledge of Graphics programs (Adobe Photoshop, InDesign, Illustrator, etc.), • Certifications or other sustainability-oriented accreditation preferred (LEED , EIT, etc.), • Knowledge of GIS principles, • Knowledge of Adobe Creative Suite Expected Outcomes • Physical Site Assessment and Field Visits, • Research, understand, and summarize regulatory requirements for residential, commercial, and industrial development projects, public works improvements, or other capital improvement projects using applied knowledge of civil engineering, • Data Collection and Processing, • Numerical Computations in the field of Civil Engineering, Hydrology and Hydraulics, Stormwater management, etc, • Prepare Technical Reports, Project Specifications, and Cost Estimates, • Create and interpret blueprints, technical drawings, and schematics, • Use drafting tools or computer-aided design (CAD) equipment and software in design work., • Oversee construction of projects to ensure adherence to design specifications, • Ensure projects comply with local zoning and ordinances, as well as national regulatory requirements What We Offer • Own a part of the firm with ESOP eligibility after one year, • Flexible working - with every other Friday off, • Competitive Health plans, including PPO and HMO options, Dental and Vision plans, • Learning and Development stipend to use as you see fit, • Generous PTO and 8 paid holidays, • Automatic 401k enrollment, • Fun team events, lunches and happy hours to get to know colleagues outside of work The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to: skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Sherwood Design Engineers, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $73,000 to $82,000. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. Reasonable accommodations may be made to individuals with disabilities to perform the essential functions. We will consider for employment qualified applicants with arrest and conviction records. Powered by JazzHR NSenjjw7BR

Job DescriptionOur Mission Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™ Our Values Take the Lead We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down. Move Fast We have a bias for action and urgency. Something that could be done tomorrow would be better if done today. Better Together We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate. Real Talk We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same. Safety First We act with integrity, transparency, and consistency so people feel safe—whether they're swiping, matching, or working alongside us. Spark Fun We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters. The Role: Tinder brings people together. With tens of millions of users and a presence in every country on earth, our reach is expansive and rapidly growing. As a Product Analyst on the Integrity team, you will leverage data and automation to help Tinder solve impactful product and engineering problems such as understanding the impact of our user facing features, and creating metrics to better quantify the user experience. Our team provides Tinder with quantification and understanding of intent, behavior, value, and the potentially complicated ways in which they all interrelate. You will develop frameworks and models for how data should be leveraged in decision making and be a key stakeholder in delivering quantitative tools. An effective Product Analyst at Tinder must have a passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and A/B testing. You must be able to disseminate findings and recommendations to a variety of partners across the organization via presentations, reports, and dashboards. In this role, your insights will influence the performance of our business, the experience of our members, and the direction of analytics at Tinder. Where you’ll work: This is a hybrid role and requires in-office collaboration three times per week. This is a hybrid role and requires in-office collaboration three times per week in NYC. You’ll need: * Bachelor’s degree or equivalent in a quantitative field, Master’s degree or PhD with a social science background preferred. * 1-2 years of professional working experience in Data Science and/or analytics preferred. * Experience with SQL and data visualization tools (e.g. Tableau or Mode) is a plus, not required. * Familiarity with scripting languages (e.g., Python or R) and applied statistical methods; experience with A/B testing is a plus. * Exposure to causal inference concepts or methods is a plus. * Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data. * Eagerness to identify and explore new product opportunities, potential improvements to our data infrastructure, and unanswered questions about member behavior. * Comfort using descriptive and inferential statistics. * Curiosity of how things work, from both a business and technical perspective. * A collaborative growth mindset with a dedication to community-based projects and partnerships. As a full-time employee, you’ll enjoy: * Unlimited PTO (with no waiting period), 10 annual Wellness Days * Time off to volunteer and charitable donations matching * Comprehensive health, vision, and dental coverage * 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP) * 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation * Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development * Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy * Free premium subscriptions for several Match Group apps – including Tinder Platinum! The salary range for this position is $93,500 - $110,000. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in NYC. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Commitment to Inclusion At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder .

Job Description Immediate Start - Machine Learning Researcher (PhD) – Systematic Commodities Hedge Fund Moreton Capital Partners is rapidly expanding and seeking a talented Machine Learning Researcher to help design and improve the predictive models that power our systematic commodities trading strategies in our Mexico City Office. We trade global commodity futures using machine learning, alternative data, and institutional-grade portfolio construction. Our edge comes from research depth, disciplined experimentation, and robust production systems. This role is for candidates completing or having recently completed a PhD with a strong machine learning, statistics, or applied mathematics focus who want to apply advanced research in a real capital environment. You will work directly with the CIO and sit alongside a world class international quant research team to turn cutting-edge ML ideas into live trading signals. Your research will ship to production and directly impact portfolio returns. This is not a purely academic role. We're looking for someone ready to hit the ground running and available to start immediately. In return, we offer a competitive salary, substantial performance share, comprehensive benefits, incredible work environment and a relocation package to make the move seamless. What you will work on • Designing predictive models for cross-sectional and time-series commodity returns, • Developing new features from price, positioning, options, macro, and alternative datasets, • Improving signal robustness and reducing overfitting through rigorous validation, • Combining and blending multiple models into portfolio-level forecasts, • Regime detection, meta-models, and adaptive allocation frameworks, • Model diagnostics, explainability, and stability analysis, • Translating research ideas into production-ready implementations, • Formulate research hypotheses and test them using clean, time-aware ML pipelines, • Build and evaluate models (tree-based, linear, ensemble, deep learning, etc.), • Run walk-forward and out-of-sample experiments with realistic costs, • Analyze information coefficients, turnover, drawdowns, and risk-adjusted returns, • Design feature engineering frameworks and reusable research tooling, • Document findings clearly and communicate results to portfolio managers, • PhD (completed or near completion) in Machine Learning, Statistics, Applied Mathematics, Computer Science, Physics, Engineering, or related quantitative field, • Strong Python skills and experience with scientific computing stacks, • Deep understanding of statistical learning and model validation, • Experience working with large datasets and experimental pipelines, • Ability to move from theory to practical implementation, • Intellectual curiosity and strong problem-solving mindset, • Experience with financial markets or systematic trading, • Familiarity with time-series modelling or forecasting, • Experience with LightGBM/XGBoost, deep learning, or ensemble methods, • Exposure to portfolio construction or risk modelling, • Experience with cloud or distributed compute environments, • Direct impact: your research drives live trading capital, • Research freedom: explore ideas with fast feedback loops, • Real-world data: large, messy, multi-source datasets, • Small team: high ownership and rapid iteration, • Strong learning curve across ML, markets, and portfolio construction, • Market leading benefits, • High responsibility from day one, • Attractive compensation: Highly competitive base salary and annual bonus that scales as the business grows., • Relocation package to our Mexico City office, along with a competitive benefits offering that includes health and life insurance, a year-end bonus, and generous paid time off., • Positive, inclusive and encouraging work environment., • Close collaboration across a global team.

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingAs a seasoned professional with 5 to 7 years of experience in television, you excel at understanding production workflows. You are dedicated to enhancing production methodologies and consistently seek opportunities for advancement. You are tech-savvy and understand the different systems used in a broadcast organization and their interoperability. You like to learn, and your proactive approach encompasses integrating new technologies.Responsibilities • Assess Current State Architecture, Process Workflow, and solution inventory and identify key pain points, • Support definition of Future State Architecture and Process Workflow with GAP analysis, • Support Project planning and implementation with high quality deliverables, • Quickly immerse yourself in broadcast projects, understanding client infrastructure and procedures, • Provide technical support and guidance to internal and external business partners., • Identify continuous improvement and processes of the broadcast transformation practiceWhat you'll bring, • 2-5 years experience in leading end-to-end delivery of cloud-based workflows, Broadcast IP transformation, and broadcast engineering., • Knowledge of SMPTE 2110 standards and NDI protocols., • Working knowledge of solutions from leading broadcast technology vendors, including:, • WideOrbit, • Avid (including Wolftech), • Dalet, • Grass Valley (including SAM), • EVS, • Adobe, • VIZRT, • Xytech, • Ross Video, • Amagi, • Skyline, • Evertz, • Telestream, • Chryron, • LAWO, • Deep understanding of video file formats, audio file formats, multicasting, and final delivery mechanisms., • Leadership & Collaboration:, • Strong cross-functional collaboration mindset: Seamlessly partner with engineering, business, and sales teams., • Meaningful contribution to business strategy: Actively participate in discussions and forums that shape Qvest.US's business direction., • Highly accountable for project success: Understands how to drive projects on track and achieve business results., • Managerial courage: Willing to have difficult conversations with colleagues to reach key decisions., • Technical Expertise:, • Demonstrated technological depth and breadth: Possesses a strong understanding of various technology domains relevant to the media & entertainment industry., • Ability to learn quickly: Adapts to new technologies and builds sufficient knowledge to lead across changing environments.Preferred Experience, • Experience at a broadcast organization or System Integrator, • Understanding Broadcasters, TV Networks, and video service providers ecosystems, • Exposure to major Broadcast Associations (IABM, NAB, SMPTE, SVG, SBE), • Exposure SMPTE-2110 standard and NDITravel RequirementsEmployees are responsible for traveling to and from client sites as required by their project or assignment, regardless of location. Travel may include sites outside the employee’s primary office location, state, or region. Remote & Hybrid WorkWhile remote or hybrid work may be permitted for certain projects, client needs take precedence. Employees are expected to report onsite at the client location when required by the project scope, client request, or management directive. Life at QvestWe were founded on a culture of collaboration and inclusiveness, and this permeates each of our initiatives, both client-facing and internal. We offer a wide selection of benefits including medical, dental & vision, 401k matching and flexible vacation; we sponsor training to advance our teams’ skill sets and we prioritize our employees’ professional growth paths. Qvest US is currently 300+ people strong and we’ve been recognized as a “Best Place to Work,” a “Great Place to Work,” “Fastest Growing,” and “A Jewel." Equal Employment OpportunityQvest is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Qvest applies this stance to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including internships, at all levels of employment.

Job Description Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Staff AI Engineer in our New York City office. About the Role: The role is for the Identity team at Applecart. The team builds and maintains best in class identity data products, tying multiple systems and data sources together. As a Staff AI Engineer, you will be responsible for leading the design and deployment of our next-generation AI-powered platforms. You will shape the technical destiny of our organization, moving beyond individual features to architect the agentic ecosystems that will handle our next phase of growth. This role will report to the Director of Engineering. What You'll Do: • Lead the design of end-to-end AI solutions using foundation models, multi-agent orchestration (MAS), and RAG pipelines. Ensure that today's technology choices support long-term scalability., • Identify systemic risks and infrastructure bottlenecks before they impact production and ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management., • Mentor other engineers. Provide design feedback that teaches thinking, recommends scalable abstractions, and builds a culture of technical excellence., • Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure., • Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems., • You have 8+ years of professional software development experience, especially in the fields of data engineering and AI/ML, • Deep expertise in applied AI/ML techniques (Deep Learning, NLP, GNNs), technologies (Agentic AI, RAG, Prompt/Context Engineering), and fluency in Python or a similar backend language, • You have designed and implemented scalable data processing pipelines, and understand how to store and retrieve large sets of data, • You have experience implementing various data warehousing architectures, including products like Snowflake or Databricks, • You have proven records of leading AI/ML projects, ideally RAG applications, • Proven experience with agentic frameworks (LangGraph, CrewAI, AutoGen) and modern data infrastructure (Kafka, Spark, Vector Search)., • Hands-on experiences with graph data models and graph data processing (with graph data engines such as Neo4 or PuppyGraph) is a big plus., • You have hands-on experience in implementing the Lakehouse architecture., • You are familiar with identity resolution and have experience building identity resolution systems., • You have experience with backend API designing and implementation, • You have experience optimizing the end to end performance of distributed systems Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $200,000 - 250,000 based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job Description Senior AI Enablement Architect Compensation: $150,000–$200,000 Location: Newark, NJ (Onsite, Full Time) Position Overview We are seeking a Senior AI Enablement Architect to design and implement the architectural frameworks, standards, and guardrails that govern how AI tools are adopted across the organization. This role sits at the intersection of software engineering, AI, security, and DevOps. You will enable teams to move fast with AI while ensuring systems remain secure, stable, and production-ready. This is a hands-on architecture role for someone who has built real systems—not just evaluated tools. Key Responsibilities AI Architecture & Enablement • Design safe innovation frameworks that allow experimentation without risking production systems, • Define isolation patterns, guardrails, and approval workflows for AI usage, • Establish how AI tools interact with core systems, data, and infrastructure Standards, Policies & Governance • Develop clear standards for AI tool usage, deployment pipelines, and data access, • Define policies addressing AI-specific risks such as prompt injection and code-generation vulnerabilities, • Ensure architectural consistency across teams and platforms System & Integration Architecture • Set integration standards across services, including API contracts, authentication, authorization, and data governance, • Ensure integrations are secure, scalable, and maintainable, • Guide teams on architectural tradeoffs and long-term system health DevOps & Delivery Enablement • Partner with DevOps to embed AI guardrails into CI/CD pipelines, • Implement approval gates, secrets handling, rollout/rollback strategies, and automated scanning, • Ensure AI-generated code meets quality and security standards before release Guidance & Enablement • Advise engineering and business teams on AI architecture decisions, • Translate constraints into practical, scalable solutions, • Build starter kits, templates, shared components, and example integrations teams can reuse Qualifications Required Experience • 5+ years of software engineering experience, • Deep expertise in API design, microservices, and system integration, • Strong architectural background designing production-grade systems AI & Security Expertise • Strong fluency with LLMs, prompt engineering, and AI coding agents, • Practical understanding of AI risks and mitigation strategies, • Security-first mindset with knowledge of OWASP principles applied to AI-generated code Professional Strengths • Systems thinker who designs for scale, safety, and speed, • Comfortable working cross-functionally with engineers, DevOps, and business stakeholders, • Clear communicator who can set standards without slowing teams down, • Ownership mindset — builds frameworks that actually get used What Success Looks Like • Teams safely adopting AI without production incidents, • Clear, enforceable standards for AI usage and deployment, • Faster experimentation with fewer security and stability risks, • Consistent, secure integration patterns across systems, • AI enablement that accelerates delivery instead of creating chaos Final Invitation to Apply If you are a senior technical leader who understands both the power and the risks of AI—and knows how to enable innovation responsibly at scale—we'd like to speak with you. Email Resume: Apply Online: Refer a friend, get up to $1000!

Job DescriptionApplied AI EngineerLocation: New York, NY (Hybrid – Wednesday Remote) Employment Type: Full-TimeHireNow Staffing is actively recruiting multiple seasoned, highly skilled Applied AI Engineers to join one of our valued client partners. HireNow Staffing is acting as a direct placement partner for this Applied AI Engineering opportunity within the fintech and institutional investment technology sector.Position OverviewThis position is built for engineers who thrive in fast-moving environments and enjoy building AI-powered applications that solve complex operational problems for institutional finance teams. The selected candidates will work on production-grade AI systems used by sophisticated investment organizations, transforming research, analytics, and operational workflows through modern AI infrastructure and automation.This is not a research-focused AI role. The client is seeking engineers who can build, deploy, and scale user-facing AI applications using modern LLM infrastructure, agentic frameworks, orchestration tooling, and full-stack engineering principles.Candidates must be comfortable operating in highly unstructured startup environments where ownership, execution speed, and technical depth are essential.Core Responsibilities • Build AI-powered client applications leveraging modern LLM infrastructure and orchestration frameworks, • Develop agentic workflows, automation layers, and intelligent research systems for institutional investment teams, • Design and maintain backend APIs using Python frameworks such as FastAPI, Flask, or Django, • Build responsive frontend applications using React and modern UI tooling, • Implement MCP-connected data sources, orchestration pipelines, and AI agent frameworks, • Develop ETL pipelines supporting portfolio analytics, securities data, research signals, and operational workflows, • Create scalable infrastructure supporting observability, orchestration, AI tooling, and workflow automation, • Work directly with client stakeholders to convert operational challenges into production-ready software solutions, • Support Kubernetes-based deployments across client environments, • Continuously iterate on AI products in compressed delivery cycles while maintaining production quality standards Required Qualifications (Non-Negotiable)Candidates must meet the following qualifications to be considered for interview:, • 3–8 years of experience as a Full-Stack Software Engineer or Applied AI Engineer, • Strong Python development expertise with production API experience using FastAPI, Flask, or Django, • Demonstrated experience building user-facing AI products from concept through deployment, • Hands-on experience integrating frontier LLM APIs such as Anthropic or OpenAI, • Proven experience using agentic AI tooling including MCP servers, Claude Code, Codex, LangGraph, OpenClaw, LangChain, OpenCode, or similar frameworks, • Strong understanding of agentic loop architecture, state handling, orchestration, and context management, • Experience building full-stack applications using React and backend API systems, • Comfortable operating within startup-style, highly unstructured environments, • Stable employment history with demonstrated ownership of long-term projects and product delivery, • Strong communication skills with ability to collaborate directly with technical and non-technical stakeholders Preferred Qualifications, • Prior fintech, hedge fund, institutional investment, biotech, or quantitative systems experience, • Experience building AI-powered workflow automation tools or financial intelligence platforms, • Familiarity with Kubernetes deployments and cloud infrastructure environments, • Experience working with portfolio analytics, risk systems, or data-intensive applications, • Strong understanding of data orchestration and distributed system workflows, • Experience working within high-performance engineering teams delivering products rapidly HireNow ChecklistHireNow Staffing is recruiting for Applied AI Engineers who demonstrate:, • Strong ownership mentality with proven 0-to-1 product development experience, • Deep hands-on AI implementation expertise rather than purely research-based AI backgrounds, • Strong full-stack engineering capabilities with production-level Python and React experience, • Experience building customer-facing AI applications using modern LLM infrastructure, • Ability to move quickly while maintaining software quality and operational reliability, • Clear interest or exposure to fintech, quantitative systems, or high-stakes data environments, • Stability within prior employment history and consistent technical growth, • Strong problem-solving ability within ambiguous or rapidly evolving environments HireNow DisqualifiersCandidates will not be considered if they primarily demonstrate:, • AI research, model training, fine-tuning, or optimization experience without user-facing application development, • Internal tooling-only backgrounds without production customer-facing product ownership, • Big Tech-only environments lacking startup execution and independent ownership experience, • Limited or no hands-on agentic framework implementation experience, • No direct integration experience with modern LLM APIs and orchestration tooling, • Frequent job changes, contract-heavy work history, or unstable employment backgrounds, • Limited frontend engineering capability or lack of full-stack product development experience HireNow Package, • Location: Hybrid onsite role in New York, NY (Wednesday remote schedule), • Compensation: $230,000 – $300,144 base salary depending on experience and technical depth, • Additional compensation may include prorated end-of-year bonuses ranging from $25,000 – $50,000, • Equity participation available ranging approximately 0.1% – 0.2%, • Full benefits package available, • Opportunity to work directly with elite institutional investment organizations

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: We are seeking a highly motivated plasma physicist to join our team, focusing on the analysis, simulation, and optimization of the divertor region of a stellarator magnetic field. The ideal candidate will possess a strong background in plasma physics, with a particular emphasis on plasma fluid models, neutral particle models, and/or atomic processes within plasmas. Experience with the boundary of fusion devices is a plus. You will work on a dynamic team, contributing to cutting-edge research and development in Thea Energy’s stellarator systems. Key Responsibilities: • Develop and implement algorithms for the simulation of fluid plasmas within complex magnetic edge topologies., • Conduct simulations and analyses of collisional edge plasma in stellarators, coupled with neutral-particle and atomic physics models., • Collaborate with cross-disciplinary teams to design stellarator divertor systems., • Perform data analysis, model validation, and provide insights into the physical mechanisms governing plasma behavior., • Prepare technical reports, presentations, and publications based on design, optimization, and simulation results., • PhD in Plasma Physics, Computational Physics, Applied Physics, or a related field, or bachelor’s degree in a relevant field with 5+ years of experience or master’s degree in relevant field with 2+ years of experience., • Strong knowledge of computational plasma physics and numerical simulations., • Experience with the boundary of fusion devices, especially stellarators or tokamaks, is a plus., • Proficiency in programming languages commonly used in scientific computing (e.g. Python, Fortran, C++, and MATLAB)., • Familiarity with simulation tools used in plasma physics research. Preferred Skills: • Experience with edge plasma models such as FLARE, DESC, SOLPS, UEDGE, and EMC3-EIRENE., • Experience working on an integrated plasma physics experimental device, ideally a stellarator or tokamak., • Understanding of plasma fluid models and neutral particle models., • Familiarity with Plasma-Material Interactions., • Experience in high-performance computing (HPC) environments.. Personal Attributes: • Excellent analytical, problem-solving, and communication skills., • Ability to work independently and manage projects., • Strong attention to detail and a passion for advancing the field of fusion energy research., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Company Benefits:, • Salary range $120,000 - $170,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job DescriptionInformation System Security Officer (ISSO) Employment Type: Full-Time, Mid-Level Department: Administrative and Logistics Support As a FSR ISSO, you will be embedded on-site with U.S. Government customers to ensure the secure, compliant operation of a production-grade data and application platform used in mission-critical environments. You will serve as the primary authority for system security and compliance—working hands-on with live systems while partnering closely with engineers, operators, and customer security teams. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- Act as the primary on-site point of contact for security and compliance requirements across one or more U.S. Government customers. - Support system accreditation and authorization activities using frameworks such as RMF or DIACAP. - Collaborate with software, systems, and field engineers to ensure required security controls, configurations, and policies are correctly implemented. - Analyze deployed software implementations and assess alignment with applicable security requirements. - Build, standardize, and maintain security documentation, including SSPs, POA&Ms, control narratives, and supporting artifacts. - Generate, validate, and organize evidence of compliance once security settings are applied. - Assemble accreditation artifacts into a structured, auditable repository. - Support audits, assessments, and ongoing compliance activities throughout the system lifecycle. - Maintain the ongoing security and trust of customers through hands-on system access and coordination with engineering and operations teams. - Support software operating across AWS, Azure, on-premises, and at multiple classification levels. - Operate in environments where the platform, threat landscape, and operational needs are continuously evolving. Qualifications:- Background in systems administration, software development, systems engineering, or deep familiarity with Linux-based systems. - Experience accrediting IT systems against U.S. Government standards such as NIST SP 800-53, CNSSI 1253, and DISA STIGs. - Hands-on experience supporting accreditation using eMASS or Xacta. - Experience collaborating with engineering teams to implement and validate security configurations. - Understanding of configuration management and automation tools (e.g., Puppet, Terraform, CloudFormation, Chef, Ansible). - Comfort using version control systems such as Git. - Ability to independently use vulnerability scanning tools such as Nessus and OpenSCAP. - Experience working in cloud and on-premises environments, including AWS. - Strong ability to produce clear, concise technical documentation, stay organized, and maintain attention to detail. - Curiosity, critical thinking, and the ability to evaluate real-world implementations against formal security requirements. - Active TS/SCI Clearance or Eligibility Our Commitment:Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past nine years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package.- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: more information about CGS please visit: or contact:Email: 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 Project Overview HireScale is partnering with a high-growth enterprise SaaS organization to embed a Forward Deployed Engineer (FDE) directly into customer-facing and product-adjacent workflows. This is a full-service, cutting-edge engineering engagement focused on bridging the gap between complex enterprise customer needs and production-grade software solutions—delivered with speed, precision, and modern AI capabilities. This role sits at the intersection of engineering, product, solutions architecture, and applied AI. You will work directly with internal teams and enterprise customers to design, build, and deploy tailored software solutions that extend core SaaS platforms into real-world operational environments. Unlike traditional engineering roles, this engagement is highly embedded and outcome-driven. You are not just building features—you are solving real customer problems in production environments, often under tight constraints, ambiguous requirements, and high expectations for reliability and scale. A core part of this role is leveraging the latest AI technologies—LLMs, agentic systems, and AI-assisted development workflows—to accelerate solution design, implementation, and iteration. You will be expected to move fluidly between rapid prototyping and production-grade engineering, ensuring every solution is both fast to deliver and architecturally sound. This role requires strong experience in enterprise software or B2B SaaS environments, where system integration, security, scalability, and reliability are critical. You will frequently operate within complex customer ecosystems involving APIs, data pipelines, identity systems, and existing enterprise infrastructure. The ultimate goal is to translate complex enterprise needs into deployed, scalable software solutions—while continuously improving product capability through real-world deployment feedback. Scope of Work & Core Capabilities • Design and deploy production-grade software solutions directly within enterprise customer environments, • Translate ambiguous, high-complexity customer requirements into scalable technical implementations, • Build integrations across SaaS platforms, APIs, data systems, and enterprise infrastructure, • Develop full-stack solutions using modern engineering practices and cloud-native architectures, • Leverage cutting-edge AI tools and frameworks (LLMs, agentic workflows, AI orchestration systems) to accelerate development and solution design, • Rapidly prototype, validate, and productionize customer-specific use cases, • Collaborate with product and engineering teams to extend core platform capabilities based on field insights, • Work directly with enterprise stakeholders to troubleshoot, iterate, and refine deployed solutions, • Ensure solutions meet enterprise standards for security, scalability, performance, and reliability, • Build reusable components, frameworks, and patterns that generalize across customers, • Operate in complex technical environments involving authentication systems, data pipelines, and distributed architectures, • Document architectures, deployment patterns, and integration guides for long-term scalability, • Act as a technical bridge between customers, product, and engineering teams Engagement Brief This engagement is focused on delivering real-world, production-grade software solutions inside enterprise environments while continuously improving platform capabilities through direct customer deployment. Success is measured by deployed outcomes, customer impact, system reliability, and the ability to scale solutions across multiple enterprise use cases. • Target Outcomes: Deployed enterprise SaaS solutions that solve real customer problems, improve operational efficiency, and extend core platform capabilities. Deliver scalable integrations, production-grade features, and AI-accelerated workflows that reduce implementation time and increase customer success outcomes., • Duration: 3–6 months (full-service engagement), • Commitment: Full-service, embedded engineering role, • Budget: Flexible based on scope, complexity, and enterprise deployment requirements, • Start Date: ASAP Portfolio Requirements: • 2–3 relevant projects in enterprise SaaS, platform engineering, solutions engineering, or forward deployed engineering roles, • Demonstrated end-to-end ownership (customer problem → system design → production deployment → measurable impact), • Experience building or integrating with large-scale B2B SaaS systems, • Proven use of modern AI tools (LLMs, agent workflows, AI-assisted development, or similar technologies), • Evidence of working in complex enterprise environments (APIs, integrations, security, scalability constraints), • Supporting materials such as architecture diagrams, production case studies, GitHub repositories, or technical documentation preferred About HireScale HireScale is redefining how people and organizations grow and work together. We connect companies with top-rated independent consultants to build agile, highly skilled and resilient teams; while also empowering talent to shape their own paths and align meaningful work with personal freedom and purpose. Our goal is a future where opportunity is open, work is self-directed, and everyone thrives.

Job Description This is a remote position. Our client, a mid-sized tech-driven commercial MGA and insurance wholesaler in the US, is seeking an AI Process Optimization Lead to drive real, measurable efficiency gains across the business. This role sits at the intersection of operations and AI. You’ll embed directly with teams (underwriting, claims, operations, finance), map workflows end-to-end, identify inefficiencies, and apply AI to improve speed, cost, and output. You’ll build and test solutions hands-on - from quick MVPs to AI-enabled workflows - and partner with product/engineering when scaling is needed. This is not a strategy-only role. You’ll be expected to move quickly, build, iterate, and deliver tangible results. The ideal candidate understands both business processes and AI well enough to translate problems into practical, high-impact solutions. Employment Type: Full-Time Permanent Location: MUST be physically located in the US or Ontario, Canada (Visa sponsorship is not available) What You'll Do: • Embed with business teams across the company (underwriting, claims, wholesale, audits, operations, finance, product) to deeply understand current workflows, bottlenecks, and pain points., • Map end-to-end processes and identify specific opportunities where AI can automate, augment, or accelerate work - prioritized by business impact and feasibility., • Define velocity metrics for each function (submissions reviewed/day, time-to-quote, claims processed/day, close cycle time, etc.) and set measurable productivity targets., • Design and implement AI-powered workflow solutions - using approved tools and platforms - that deliver tangible throughput improvements., • Build and maintain dashboards and reporting to track velocity metrics across functions, making progress visible to leadership on a weekly and monthly cadence., • Serve as the primary liaison between business teams and engineering - translating business needs into technical requirements and ensuring AI solutions fit real workflows., • Lead change management for AI adoption - training teams, creating documentation, driving usage, and reinforcing that productivity improvement is an ongoing operating discipline., • Evaluate and recommend AI tools and platforms for company's approved toolset, working with engineering to vet for security, compliance, and data handling requirements., • Support the AI Committee with enterprise-wide velocity reporting, tool approval recommendations, and cross-functional best practice sharing., • Identify opportunities to replicate wins across company's 12+ product verticals - a workflow improvement in commercial auto that can be applied to construction, workers comp, and beyond., • Ensure all AI process solutions meet regulatory obligations (state insurance regulations, HIPAA for workers comp, CCPA) and data governance standards. Requirements • 5+ years of experience in process improvement, business operations, or consulting - with recent 2 years focused on AI/automation-driven transformation in the insurance industry., • Demonstrated ability to map complex business processes, identify optimization opportunities, and deliver measurable improvements., • Experience with LLM-based tools and applications (ChatGPT, Claude, Copilot, or similar) for business process automation., • You must be an active, daily AI user - not someone who has read about it but someone who lives it. You have built custom AI skills and agents for your own work, incorporated third-party AI libraries and tools into your personal and professional workflows, and can demonstrate specific examples of how AI has changed the way you operate. We are looking for practitioners, not observers., • Strong proficiency with data analysis and visualization (SQL, Python, Excel, Tableau/Power BI, or similar)., • Experience defining KPIs and velocity metrics, building measurement frameworks, and driving accountability against targets., • Excellent communication and stakeholder management skills - ability to work effectively with underwriters, claims adjusters, operations staff, and C-suite executives., • Experience leading change management for technology adoption across cross-functional teams., • Self-starter who thrives in a fast-paced, growth-stage environment with ambiguity., • Bachelor's degree in Business, Engineering, Computer Science, Data Science, or a related field. Benefits • Employee Ownership Program - every eligible employee shares in the financial rewards that grow when the company grows, • Professional development opportunities, • Owner Referral Program, • Work from home reimbursement for remote/hybrid roles, • Canary emergency financial assistance program, • Comprehensive medical, dental, vision, • Life/AD&D Insurance, • Confidential, Employee Assistance Program, • Health Savings Account, includes company contribution, • Short-term disability, • Voluntary benefits - supplemental accident, critical illness, hospital insurance, • Employee discounts, • 401(k) Plan with company match contribution, • Addition Wealth Financial Wellness Program, • Various Time Off Programs, • 11 company paid holidays At Talencore, we stand against racism and discriminatory practices. We stand against violence. We proudly support and partner with organizations that lift people up so everyone can succeed and thrive, and honour our candidates' experiences, perspectives and unique identity. We are committed to continuing to make diversity, equity, and inclusion part of everything we do – from how we work with our talented candidates to how we support our clients in building their diverse workforce.

Job Description A client of AlphaStaffHCM™ is searching for a Research Scientist who will work on the modeling, simulation, and architectural development of quantum and artificial intelligence (AI) computational structures intended for chip-scale implementation. The right candidate must be able to work onsite in Hoboken, NJ. Key Responsibilities: • Develop and simulate quantum and AI-based photonic architectures for on-chip, • implementation., • Translate high-level computational concepts into device-level and system-level, • simulation models., • Perform rigorous electromagnetic and Multiphysics simulations to evaluate optical,, • nonlinear, and quantum effects., • Model and simulate quantum photonic circuits and quantum gates under realistic device, • conditions., • Analyze fabrication tolerances and material constraints to assess design robustness., • Optimize photonic device structures for performance, scalability, and manufacturability., • Collaborate closely with fabrication and packaging teams to ensure simulation models, • align with process capabilities., • Support post-fabrication validation by correlating experimental results with simulation, • predictions., • Document modeling methodologies, simulation results, and architectural trade-offs for internal and external reporting Must Have Qualifications: • Ph.D. in Physics, Applied Physics, Electrical Engineering, or a closely related discipline., • Strong foundation in Photonics, Quantum optics, Nonlinear optics, • Demonstrated experience in simulation of photonic integrated circuits., • Experience modeling and simulating quantum gates/ quantum optical systems., • Understanding of semiconductor/TFLN and photonic chip fabrication processes, • Familiarity with chip testing and packaging considerations from a modeling perspective., • Software experience with Lumerica, Python, and Tidy3D Nice to Have Qualifications • Software experience with COMSOL Multiphysics, MATLAB, and/or Z-Max, • Demonstrated experience as a self-starter, • Demonstrated experience as a quick leaner Compensation and Perks • Salary range: $120,000-$150,000 annually, based on experience., • Medical, dental, and vision coverage., • Generous PTO and a retirement match., • 9:00-5:00 in office schedule Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Data Science Experts Type: Contract Compensation: $70–$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities • Guide research and engineering teams on data science methodology, statistical inference, and modeling best practices., • Design challenging data science tasks and write accurate, well-structured analytical solutions., • Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear written technical feedback to improve correctness and rigor., • Develop guidelines and evaluation frameworks to assess the quality of statistical reasoning, ML pipeline design, and data analysis approaches. Must-Have • 3+ years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning., • Ability to commit to 40 hours per week during weekdays for the duration of the engagement., • Prior experience with data annotation, labeling, evaluation, or human feedback collection., • Upload resume, • AI interview based on your resume

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 opportunityAs an AI Researcher specializing in generative models for materials discovery at Radical AI, you will help the development of the first commercial foundation model for materials science. Your role involves pioneering the application of generative models in the field of materials science, in particular by leveraging flow matching, diffusion, and LLMs. You will develop novel models and training techniques tailored for atomistic data in materials science. Your responsibilities include designing and conducting large-scale experiments to validate the most promising approaches in generative modeling. Collaborating closely with our engineering and computational materials science teams, you will play a crucial role in transitioning state-of-the-art models from research to production. 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 • Lead and develop our generative foundation models in materials discovery., • Work in collaboration with various teams, in particular the quantum chemistry team, the atomistic simulation team, the engineering team, and the experimental team., • Conduct large-scale experiments to validate and refine promising approaches, collaborating closely with engineers to implement these models in production., • Develop rigorous benchmarks to validate and test the performance of our models., • 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., • 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 deep learning and generative models., • At least 3 years of research experience in AI, with a proven track record in generative modeling, particularly in fields adjacent to materials science., • Working knowledge of various generative AI architectures, including transformers, diffusion models, CNFs, and flow matching., • Demonstrated experience in designing and running large-scale experiments in AI and machine learning., • Passionate about leveraging ML for science related problems and a commitment to doing world-class research., • 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, • Prior experience in transitioning AI research into production environments., • Active involvement in the AI research community, with contributions beyond publications, such as organizing workshops or giving talks at conferences.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description Work includes: • Applied research in AI, • Transforming applied research into solutions, • Scaling AI solutions to large end-user population, • Development across a wide range of software engineering disciplines, • Development of graphical AI modeling languages and IDE's, • Work with speech and natural language recognition technologies, • Communication with customers and experts in a range of disciplines, • Development of innovative AI and software solutions to direct and support company vision., • Occasional travel based on role and project, • Serious Game / Training Simulation development, • Apply AI engineering best practices to develop solutions for the DoD, • Create AI behavior models for deployment in a variety of domains, • Employ cutting edge AI research to create realistic characters and entities to enhance training experiences, • Develop and enhance speech recognition and natural language technologies, • Develop and enhance a graphical behavior and device modeling technology, • Work with Subject Matter Experts to capture knowledge about a variety of training domains, • Analyze user needs and develop software solutions, • Collaborate with a small team of talented engineers to design and optimize code, • Create design documents for complex software systems, • Create new software designs and system architectures, • Lead software design efforts of other engineers, • Participate in code, model reviews, and test to ensure quality products and services for our customers, • Brainstorm and contribute ideas to overcome barriers to innovation, • Mentor younger team members on Discovery Machine best practices and culture, • Collaborate with others; being team-oriented and proactively engaging to meet shared objectives, • Must be a U.S. Citizen; Work Visa is not eligible, • Wide range of experience considered, • Strong analytical and critical thinking skills, • Must enjoy learning, • Bachelor’s degree in Computer Science or a related field, • Background in AI is a plus, • User Interface Design experience is a plus, • Previous experience in software development, computer engineering, or other related fields, • Knowledge of Java, C#, Python, or other programming languages, • Innovative products & services, • Competitive salary, • Full benefits partially subsidized by company, • Company matched simple retirement account (SRA), • Generous paid time off (holidays, vacation, and sick time), • Short-term and long-term disability insurance provided, • Merit raises and performance bonuses available, • Small company environment, • Snack bar, • Casual dress code Made of a small, tight-knit team of talented engineers, Discovery Machine develops and deploys a set of software solutions that push the boundaries of AI technology. From advanced research into completely novel AI technologies, to the utilization of cutting-edge natural language processing applications, work at Discovery Machine constantly exposes our employees to new and interesting engineering challenges.At Discovery Machine® Inc., we are revolutionizing the future of technology with our pioneering Artificial Intelligence (AI) solutions. We are scaling cutting edge AI solutions throughout the Department of Defense (DoD). If you are passionate about technology; if you love finding ground-breaking solutions to complex, cutting-edge technical problems; if you are determined to work at a small company, with a team of mentors and colleagues dedicated to helping you grow; then look no further, we want you to apply!\r\n\r\nMade of a small, tight-knit team of talented engineers, Discovery Machine develops and deploys a set of software solutions that push the boundaries of AI technology. From advanced research into completely novel AI technologies, to the utilization of cutting-edge natural language processing applications, work at Discovery Machine constantly exposes our employees to new and interesting engineering challenges.

Job Description The Product Engineer, Global Credit Technology is a hands-on engineering role focused on building and scaling business-critical applications for Carlyle’s Global Credit platform. This role partners closely with investment professionals and business stakeholders to design, develop, and deliver high-quality software solutions that improve credit workflows, analytics, and decision-making. This engineer owns features end-to-end across backend services, frontend applications, and applied AI capabilities where appropriate. The ideal candidate combines strong technical execution with sound product judgment, is comfortable working in ambiguous problem spaces, and thrives in a business-embedded engineering model. Requirements: • 8 years of overall relevant software engineering experience, showing longevity within roles, • Bachelors Degree in Computer Science, • Experience with a strong focus on application development coding i either Python or React as primary language, • Experience developing or integrating AI-enabled applications, including familiarity with LLMs and orchestration frameworks (LangChain, LlamaIndex) or working on own AI personal projects, but must be able to share production ready based AI functionality capabilities, • Prior experience or exposure to the alternative asset management or financial services industry, preferred, • Experience working with and coordinating offshore development teams, • This resource will be working closely with the Credit business users and offshore development teams - strong problem-solving and communication skills are a must, • Ownership driven with a proven background in delivering end-to-end solutions Company DescriptionAtlas Search is an executive recruiting firm dedicated to placing accounting, finance, middle office, information technology, human resources, and office / accounting support professionals. Our clients range from Fortune 500 to start-ups and we service all industries ranging from Financial Services to Media & Entertainment. We were founded on the principle of relationships; our firm has been built on partnering with candidates and clients with a focus on their long-term interests. We provide Technology professionals like yourself on a permanent basis for our clients across all industries. Specialties include: Software Engineers, Web Developers, iOS/Android Engineers, Data Analysts, Business Intelligence, Data Engineers, Data Scientists, Help Desk/Desktop Support, Systems Administrators/Engineers, Network Administrators/Engineers, Cloud/DevOps Engineers, Application Support, Business Analysts, Project Managers, IT Managers, CTOs, etc.Atlas Search is an executive recruiting firm dedicated to placing accounting, finance, middle office, information technology, human resources, and office / accounting support professionals. Our clients range from Fortune 500 to start-ups and we service all industries ranging from Financial Services to Media & Entertainment. We were founded on the principle of relationships; our firm has been built on partnering with candidates and clients with a focus on their long-term interests. We provide Technology professionals like yourself on a permanent basis for our clients across all industries. Specialties include: Software Engineers, Web Developers, iOS/Android Engineers, Data Analysts, Business Intelligence, Data Engineers, Data Scientists, Help Desk/Desktop Support, Systems Administrators/Engineers, Network Administrators/Engineers, Cloud/DevOps Engineers, Application Support, Business Analysts, Project Managers, IT Managers, CTOs, etc.

Job Description • Perform or witness concrete, masonry, steel bolting, post installed anchors and other activities on New York City construction projects, such as low to mid rise buildings, industrial, commercial, public, academic, and healthcare facilities., • Prepare and submit reports of inspection activities and other technical documentation, • File documentation and complete required technical report forms in accordance with the IBC, • Other duties as assigned, • Lead or participate in project meetings and conference calls., • Manage project documentation and status., • Perform Energy efficiency inspections in NY TR8Job Requirements:, • Bachelor s Degree in Engineering or Architecture is preferred, • At least 5 years of relevant experience as a construction or special inspector on progressively complex building/facility projects., • Proficiency in the use of standard Microsoft Office products and the ability to become competent with latest project related inspection software and reporting systems, • Excellent verbal and written communication skills, • Working knowledge and experience with structural design., • Ability to communicate as a valued team member with colleagues and clients of all levels, • Ability to provide inspection reports in a timely manner, • Reliable means of transportation and a valid driver’s license, • Willingness to obtain additional certifications, • Work well with a team and individually, • Familiarity with construction industry codes, • Applicant must send at least 5 sample construction inspection reports from any of the below categories, • we seek individuals with one or more of the following certifications:, • AWS Certified Welding Inspector (AWS-CWI), • AWS Certified Associate Welding Inspector (AWS-CAWI), • ACI-1 - Concrete Construction Special Inspector (ACI-CCSI), • ICC Concrete Special Inspector (ICC-CSI), • ICC Commercial Mechanical, • ICC Pre-Stressed Concrete Special Inspector, • ICC Spray Applied Fire Proofing Special Inspector, • ICC Soils Special Inspector, • ICC Structural Masonry Special Inspector, • ICC Structural Steel and Bolting Inspector, • ICC Structural Welding Inspector (ICC-SWI), • Other desirable licenses include:, • NYS Licensed Professional Engineer or Registered Architect

Job DescriptionApplied AI Engineer (AI-Native Marketplace) Location: New York City (on-site, relocation supported) Compensation: USD 170,000 – 230,000 + Equity Hiring: Up to 2 engineers Company: Confidential (represented by Worthland) About the Project Our client is a well-funded, AI-native startup building a real production marketplace in a space that has historically relied on manual workflows and human judgment. The company has achieved clear product–market fit, is growing rapidly with a lean team, and uses AI not as an add-on but as the core decision engine of the business. Their systems directly impact matching quality, speed, and operational efficiency at scale. This is a hands-on role for builders who want to ship AI systems that operate in messy, real-world conditions and materially move business metrics. The Role As an Applied AI Engineer, you will own end-to-end AI systems powering the marketplace: scoring, matching, ranking, recommendations, and internal automation. You will work directly with the founder and operations team. There is no separate ML platform team—you own the full loop, from problem definition through production iteration. This is not a research role and not an infra-only ML position. It is a product-focused, applied AI builder role. Role Split (Approximate) * ~60% Applied AI / ML: model selection, prompting, fine-tuning, evaluation, experimentation * ~40% Product & Engineering: backend services, APIs, data pipelines, product integration First 30 Days (What Success Looks Like) Week 1 * Develop a deep understanding of existing AI systems (scoring, matching, automation) * Identify where models perform well vs. where they fail in production * Partner with the ops team to understand manual overrides and edge cases * Align with the founder on the highest-leverage problems to solve first Weeks 2–4 * Ship meaningful improvements to scoring/matching models and related product features * Begin reducing manual ops load through smarter automation * Take ownership of the AI roadmap, using the founder as a thought partner—not a project manager Key ResponsibilitiesApplied AI & Decision Systems * Build and improve matching, scoring, and ranking systems that directly affect marketplace outcomes * Design explainable and calibratable AI outputs so users can understand and trust decisions * Compare new inputs against historical outcomes to surface meaningful signal * Iterate based on real-world feedback, not just offline metrics Automation & Internal Systems * Replace manual review steps with intelligent AI-driven workflows * Build feedback loops where human overrides improve model performance over time * Identify and surface stuck or anomalous cases requiring human attention Product-Facing AI Features * Generate structured summaries from unstructured data (documents, notes, transcripts) * Build retrieval-based assistants and role-specific AI tools * Ship features that are user-facing, measurable, and tightly integrated into the product Experimentation & Evaluation * Design evaluation frameworks that reflect real business impact, not just model accuracy * Implement experimentation and A/B testing to validate improvements * Make pragmatic tradeoffs (prompt vs. fine-tune, off-the-shelf vs. custom) RequirementsMust-Have * 4+ years of engineering experience with AI/LLM features shipped to production * Experience owning AI systems end-to-end in a real product environment * Hands-on experience with LLM APIs, embeddings, vector databases, and evaluation * Strong backend or full-stack engineering fundamentals * Comfort working with imperfect data and evolving requirements Strong Plus * Experience at an AI-native startup or as a founding / early engineer * Background in recommendation systems, matching, search, or automation * Product intuition and comfort making fast, high-impact decisions * Willingness to be hands-on rather than operating through layers of abstraction Not a Fit If You Primarily: * Work only on ML platforms or infrastructure without owning product features * Focus on research, publishing, or offline experimentation * Require clean datasets and mature infra before shipping * Have only built basic RAG demos as your main AI experience * Prefer large, highly structured organizations Why This Role * High ownership and direct impact on core business metrics * Close collaboration with the founder and decision-makers * AI-first product where models are central, not decorative * Competitive compensation, meaningful equity, and long-term upside Interview Process * Intro Call (30 minutes): High-level screening to assess role fit, hands-on AI experience, and mutual interest in the opportunity and company stage. * Technical Interview (60 minutes): Applied system design discussion focused on a real-world AI problem (e.g. matching, ranking, automation), evaluating practical decision-making and tradeoffs. * Behavioral Deep Dive (60 minutes): Review of past experiences, ownership mindset, and working style in high-autonomy, fast-moving environments. * On-Site (Full Day): Collaborative working session solving real problems with the team to assess technical depth, problem-solving approach, and collaboration in practice.

Job Description We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies. We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation. At Rokt, we practice transparency in career paths and compensation. We believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for an Enterprise Account Executive Target total compensation ranges from $149,000 - $267,000, including a fixed annual salary of $100,000 - $130,000 an employee equity plan grant, and world-class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. About the role: As an Enterprise Account Executive at Rokt, you'll drive revenue by securing strategic deals with top-tier brands and helping them unlock new value from the Transaction Moment. You'll need to understand complex ecommerce ecosystems, navigate multi-stakeholder organizations, and position Rokt as a strategic partner, not a vendor. You'll own the full sales cycle from prospecting to close, working closely with Product, Engineering, and Customer Success to bring tailored solutions to market. You'll develop deep expertise in your vertical, becoming a trusted advisor who can speak credibly to CMOs, CROs, and technical decision-makers alike. Your ability to synthesize and represent customer feedback will directly shape our roadmap. We're looking for someone deeply curious, who leads with conviction and thrives when things move fast and change often. What You'll Do • Own a revenue target and the entire sales cycle, from outbound prospecting to complex enterprise closes, • Break into new enterprise accounts while expanding footprint within existing strategic customers, • Develop and execute vertical-specific GTM strategies, identifying high-value use cases for Rokt's platform, • Become a trusted advisor to customers: understand their business deeply, craft tailored solutions, and co-innovate on the product roadmap, • Lead with clear recommendations based on industry expertise; don't present menus, present solutions, • Prioritize lighthouse accounts that can serve as category-defining references, • Collaborate cross-functionally with Product, Engineering, Marketing, and Applied AI teams to bring new solutions to market, • Develop sales collateral, proposals, and presentations that position Rokt's differentiated value About you: • 5+ years of enterprise B2B sales experience in e-commerce technology. SaaS, API solutions, or adtech/martech, • A track record of managing complex, multi-stakeholder sales cycles and consistently exceeding revenue targets, • Demonstrated ability to navigate dynamic stakeholder ecosystems, build consensus across disparate groups, and close highly customized commercial agreements, • Technical fluency. You can have credible conversations about APIs, data integrations, and AI/ML with engineering leaders, • Excellent communication skills with the ability to present confidently and build connections from ICs to C-level executives, • A strategic, analytical approach to assessing markets combined with creative, tactical execution, • A "roll up your sleeves" mentality. You bring order to chaos and aren't above doing what needs to be done About Rokt’stars: As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team, never letting egos get in the way of brilliant ideas. We value diversity, transparency, and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About The Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us!, • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance!, • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

Job Description Infrastructure Engineer (AWS / Terraform / ECS / Data Platforms) Location: New York, NY (Onsite 3–5 days/week) Compensation: $180,000 - $235,000 + equity About Our Client Our client is building AI-native infrastructure to automate the administrative backbone of healthcare—starting with home health. Their platform helps agencies reduce overhead, accelerate payments, and spend more time on care (not paperwork). The product integrates directly into provider operations and automates complex workflows like insurance verification, prior authorization, and billing using agentic AI. Backed by top-tier investors, the team blends deep expertise across healthcare operations, applied AI, and workflow automation. The Role Our client is hiring their first Infrastructure Engineer to build and scale the foundational systems powering their AI automation platform. You will own critical infrastructure supporting production workloads across intake, clinical documentation, and revenue cycle management—ensuring reliability, security, performance, and compliance as the company scales from one client to dozens. This is a systems-oriented role with broad scope. You'll work across container orchestration, data systems, deployment automation, and observability. Over time, you'll help set the technical vision for the infrastructure layer and define operational best practices that allow engineering to ship faster and more reliably. What You'll Do • Design, build, and maintain scalable cloud infrastructure on AWS, including ECS, Postgres, Redshift, and supporting data pipelines for production workloads, • Own CI/CD pipelines and deployment automation to enable fast, safe releases (testing, rollbacks, zero-downtime deployments), • Implement and manage infrastructure-as-code using Terraform, ensuring consistency and version control across environments, • Build robust observability (metrics/logs/traces/alerting) using tools like Datadog, including cost and performance monitoring, • Scale and optimize Postgres/Redshift to handle growing data volumes while maintaining performance and data integrity, • Drive security and compliance at the infrastructure layer: IAM policies, network controls, audit logging, and HIPAA-compliant data handling Required Qualifications • 4+ years of infrastructure, platform, or SRE-adjacent engineering experience building and scaling production systems, • Strong hands-on experience with AWS and Terraform (or comparable IaC), • Experience with AWS primitives including ECS, RDS/Postgres, Redshift, IAM, VPC, and related services, • Strong experience building and maintaining CI/CD pipelines, automated testing, and deployment automation, • Hands-on experience with observability tools (especially Datadog) including monitoring strategy and alerting discipline, • Familiarity with Redshift or modern warehousing patterns for analytics/reporting workloads, • Experience in healthcare or other regulated industries requiring strict security, privacy, and compliance, • Familiarity with data pipeline orchestration tools and ETL/ELT patterns, • First infrastructure hire with real ownership and architectural influence, • High-impact mission: reduce administrative burden so providers can focus on patient care, • Work at the intersection of cloud infrastructure + data systems + AI-driven workflow automation, • Build compliant, resilient infrastructure that scales with real healthcare operators

Job DescriptionSenior Product Manager, Life Sciences Data Products (Applied AI) Location: U.S. (Remote-first) with optional hub-based hybrid Employment: Full-time Level: Senior IC (high ownership) Start: ASAP / Flexible Beacon Talent is leading a confidential search for a venture-backed company building an applied AI + data platform that supports life sciences teams (biopharma, medtech, and research organizations) with secure access to real-world clinical datasets and tooling that accelerates discovery and development while maintaining high standards for privacy, quality, and responsible use. The Role As Senior Product Manager, Life Sciences Data Products, you will own the strategy and execution for a portfolio of data-driven products used by life sciences customers to find, access, evaluate, and operationalize complex clinical datasets for R&D and clinical development workflows. This is a hands-on, high-agency role—ideal for a PM who loves ambiguous problem spaces, can translate market signals into crisp product bets, and can partner deeply with engineering and data teams to ship scalable product capabilities. What You’ll Own * Product vision & roadmap: Define the life sciences product strategy, identify the highest-leverage problems, and translate them into a sequenced roadmap with measurable outcomes. * Discovery & validation: Run customer interviews, workflow mapping, and opportunity sizing to determine what to build, what to standardize, and what to avoid as one-off services. * Scalable data products: Build repeatable “productized” capabilities that improve dataset usability, governance, search/retrieval, cohort building, and downstream analytics readiness. * AI-assisted workflows: Partner with technical teams to design automation that reduces friction in data access and analysis (e.g., metadata enrichment, quality signals, dataset packaging, evaluation tooling). * Execution leadership: Write requirements, define success metrics, manage tradeoffs, and drive delivery from concept through launch—iterating based on usage and customer outcomes. * Cross-functional alignment: Collaborate closely with go-to-market partners to ensure positioning, packaging, and feedback loops inform the roadmap without turning the product into custom projects. * Market awareness: Stay current on life sciences R&D and clinical development trends and incorporate them into differentiation and product choices. What We’re Looking For Required * 5+ years building data products or platforms for life sciences and/or healthcare customers. * Strong product discovery muscle: customer interviews, problem framing, prioritization, and roadmap ownership. * Technical fluency across data infrastructure, APIs, pipelines, and working concepts in ML-enabled products (no need to code). * Track record partnering with engineering and data teams to deliver complex, high-impact product work. * Excellent communication—credible with technical teams and clear with non-technical stakeholders. * Comfort operating in a fast-moving environment with evolving inputs and limited process. Nice to have * 0→1 product experience or taking early products to scale in a regulated domain. * UX/product design sensibility with strong intuition for end-user workflows. * Prior experience in analytics, data science, or experimentation. * Familiarity with privacy, governance, and quality frameworks for sensitive datasets. Why This Role * Direct ownership of a high-impact roadmap at the intersection of life sciences + data platforms + applied AI * Meaningful influence over what becomes productized vs. service-heavy * Close collaboration with technical leadership and high visibility across the company Compensation Competitive base + equity + benefits. (Exact range varies by level and location and will be shared during the process.)

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 an Applied AI Engineer, you will own the end-to-end development of core product experiences that redefine how our members interact with their healthcare. * Architect and ship new AI-native features that serve tens of thousands of members. * Build and deploy sophisticated LLM-powered agents that autonomously reason through complex healthcare workflows. * Evolve our core AI stack by advancing our capabilities in prompt orchestration, context engineering, retrieval systems, and evaluations. 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: Develop an intelligent experience that helps patients understand their symptoms and guides them to the right setting of care (ER, Urgent Care, or PCP). You’ll prevent costly, unnecessary visits and directly save members thousands in out-of-pocket costs. * An Infinitely Scalable Care Partner: Build a conversational AI to help patients understand their health, from decoding lab results to clarifying treatment plans. You'll give members the 24/7 support and infinite patience that the traditional system simply cannot offer. * Proactive Health Engine: Pioneer an outreach tool that analyzes claims data to send personalized, timely campaigns for preventive screenings and medication adherence. You’ll transform healthcare from a system of static, soulless emails into one of dynamic, personal engagement. What We’re Looking For This role is a great fit if you are a product-minded engineer who thrives on building with the latest AI technology. * Demonstrated experience shipping full-stack AI products, from backend infrastructure (Python, Postgres) to production LLM applications. * A strong product intuition and deep intellectual curiosity, with a passion for building 0-to-1 experiences in a fast-paced startup environment. You own problems end-to-end. * A pragmatic approach to LLM safety and reliability, with hands-on experience implementing guardrails, red-teaming, and creating evaluation frameworks to manage trade-offs between performance, cost, and latency. * Fluency with AI-assisted engineering tools (e.g., Cursor, Copilot) to accelerate your development workflow. Nice to Haves * Experience with our front-end stack (TypeScript, React). * Familiarity with deploying AI workloads on a major cloud platform (AWS, etc.). Target Compensation Range $210,000 – $230,000 + equity Why Join Arlo: * High ownership: You’ll get real responsibility from day one—our high-trust team empowers you to run with big problems and shape core parts of the company. * Join an important mission: Your work directly influences how people access care and improves lives at scale. * Growth & expansion: We’re moving fast, and as we grow, your scope will grow with us—new challenges, bigger opportunities, and rapid career velocity. * Apply AI to a problem that matters: Instead of optimizing ads or cutting labor costs, you’ll use AI to fundamentally reimagine how people get healthcare. * High pace, high collaboration: We operate with velocity, first-principles thinking, and a team that works closely, openly, and with ambition. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location, and qualifications which are assessed during the interview process. Arlo is an equal opportunity employer. We do not discriminate based on age, race, color, creed or religion, national origin, sexual orientation, gender identity or expression, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, status as a victim of domestic violence, or arrest or conviction record, as defined under New York State law.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Director of Applied AI to lead our newly formed Applied AI organization and architect an AI-first operating model from the ground up. You are a technical leader with a rare blend of engineering depth, organizational influence, and a relentless instinct for shipping production-ready systems. Reporting to senior leadership, you will define where AI creates the most leverage across our business—including finance, operations, and GTM—and build the high-performing team of AI Engineers and Process Analysts required to make that vision a reality. Your success will be measured by your ability to partner cross-functionally to redesign core processes, eliminating friction and delivering tangible outcomes in time savings and cost impact. What you'll do • Own the Applied AI roadmap by identifying high-leverage opportunities to rebuild business processes across finance, operations, revenue, and GTM, • Hire, develop, and lead a team of AI Engineers and Process Analysts while establishing a culture of fast iteration, • Partner deeply with functional leaders to understand current work flows and design AI-first solutions to eliminate friction, • Set standards for how the team designs, evaluates, and deploys AI workflows, including prompt systems and LLM integrations, • Establish metrics for each process transformation and hold the team accountable to time savings, error reduction, and cost impact, • Serve as the internal authority on applied AI capabilities, tooling trends, and emerging best practices, • Present strategy, progress, and results to senior leadership and the executive teamWhat we're looking for, • 7+ years of experience in software engineering, AI/ML, or technical product leadership, • At least 2 years leading teams that shipped AI-powered systems in production, • Maintain deep hands-on familiarity with LLMs, agentic workflows, and AI automation tooling such as OpenAI, LangChain, and vector databases, • Demonstrate strong engineering skills and the ability to credibly review and guide technical decisions, • Show a track record of driving organizational change through technology and ensuring tools are adopted for sustained impact, • Apply experience working across functional boundaries to redesign processes with strong instincts for change management, • Utilize excellent communication skills to distill complex AI concepts for a non-technical executive audience, • Maintain a bias toward shipping by moving fast and setting clear expectations for high standardsOur Stack, • Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited), • Datastores: MySQL, PostgreSQL, Snowflake, • Cloud: AWS, • Version control: Git & GitHub, • AI Tooling: Copilot on GitHub and Claude Code When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $225,000.00 USD to $265,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-RR1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job Description Strong Java Developers and Leads, that have strong problem-solving skills. Payment Tech Software Engineer (Java): As an experienced member of our Software Engineering group, we look for engineers who are passionate about solving business problems through innovation and strong engineering practices. In this role, you will apply deep technical expertise across the full software development lifecycle and partner closely with stakeholders to stay aligned on shared goals. We embrace a culture of experimentation and continuous improvement, and you will work in a collaborative, trusting environment that values diversity of thought and customer-focused solutions. The ideal candidate is self-motivated and proactive, with strong curiosity, ownership, and the ability to troubleshoot methodically and deliver under pressure. You have experience working in an Agile SDLC, collaborating effectively within your team, and executing across cross-team dependencies with technology leads, architects, production management, business analysts, and QA. Responsibilities: Deliver creative software solutions across design, development, and troubleshooting; think beyond routine approaches to break down technical problems. Develop secure, high-quality production code; review and debug code written by others. Perform code reviews and partner with QA to develop and review test scenarios. Drive delivery of key milestones aligned to a clear roadmap and requirements. Qualifications (required): BS/BA degree or equivalent experience (Computer Science preferred). Formal training or certification in Software Engineering with 5+ years of applied experience. 8+ years of software development experience. Ability to translate functional requirements into technical designs and engineering requirements. Strong experience with Core Java, object-oriented design, RDBMS (Oracle), SQL, Spring, and No SQL. Strong understanding of Agile methodology and use of SDLC tooling to improve development and testing efficiency (Jira, Jenkins, Git, JUnit, Selenium, linting tools). Qualifications (preferred): Experience partnering effectively with technology teams and product owners to drive end-to-end delivery. Experience planning and managing Scrum teams, including facilitating Agile ceremonies, prioritizing backlogs, and enabling team delivery. Experience building secure, highly available, resilient, scalable systems leveraging clustering and load balancing across web/app servers and messaging systems (Kafka). Practical cloud-native experience. Container-based development and orchestration; microservices frameworks and tools (Docker, Kubernetes, Spring Boot, Swagger). Cloud and container-based development experience (e.g., Gaia, Kubernetes, AWS). Reactive programming experience (e.g., Spring Flux). Streaming/aggregation frameworks (Storm, Spark). NoSQL / Big Data stores (Cassandra, Elasticsearch, Cloudera stack, HBase); experience optimizing Cassandra is a plus. Banking and payments domain experience.