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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 Senior Backend Engineer (GenAI / LLM Workflows) Compensation: $170,000–$230,000 base + equity Location: San Francisco, CA or (open to remote to start) About Our Client Our client has built a leading AI-powered clinical documentation platform for home health, used daily by thousands of clinicians and reducing documentation time by 80%+. By giving clinicians their time back, the platform helps home health organizations deliver better care to older adults who want to remain at home. The company is growing quickly, backed by top-tier investors, and shipping new capabilities into real clinical workflows every week. They're now hiring a Senior Backend Engineer to scale the core services that power the platform and build new Generative AI / LLM-driven workflows clinicians will rely on every day. The Role This is a backend-heavy role for an engineer who enjoys solving real production problems: scalability, reliability, data integrity, and building practical AI-enabled workflows that directly support patient care. What You'll Do • Ship complex backend services using FastAPI with MongoDB and/or Postgres, • Build APIs and infrastructure that interface with LLMs and Generative AI models, • Leverage AI-assisted development tools (e.g., ChatGPT/Copilot-style tooling) to increase engineering velocity without sacrificing quality, • Prototype MVPs quickly, then harden them into secure, scalable, reliable production systems, • Improve backend architecture, observability, and code quality standards, • Deploy and operate services using Docker and AWS Must-Have Qualifications • 7+ years of professional software engineering experience with deep backend expertise, • Startup experience shipping real features in high-growth environments, • Experience designing distributed systems and/or data-heavy backend architectures, • Experience working with Generative AI / LLM-powered systems in production or a strong desire to learn and build in this space, • Strong product mindset and comfort partnering with cross-functional teams, • Ability to operate in ambiguity and move quickly without sacrificing quality, • Platinum health, dental, and vision insurance, • Flexible PTO, • Opportunity to be at the forefront of LLM innovation in healthcare, • Founded by AI researchers (Cornell and Amazon Alexa backgrounds), • Direct impact on clinicians and patients—software that meaningfully improves care delivery

Scalable Systems & Engineering: Architect and improve large‑scale distributed machine learning systems, ensuring robustness, efficiency, and reproducibility across training and evaluation workflows. LLM Expertise: Extensive experience developing and training large‑scale machine learning models,

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at the Team CoreWeave is The Essential Cloud for AI™ — the infrastructure that the world's leading AI labs, researchers, and enterprises depend on. The Developer Experience (DevEx) team owns the platform, services, and systems that enable every engineer at CoreWeave to build and ship software faster, more safely, and with greater confidence. Our scope spans the full developer lifecycle: CI (continuous integration) and build infrastructure, test experience, delivery systems, artifact storage and distribution, internal developer platforms, and the agentic AI tooling that is redefining how engineers move from idea to production. This is a role for a technical leader who operates across team boundaries. You'll own the hardest problems in developer productivity at CoreWeave, by setting the technical strategy for DevEx, removing systemic friction across the engineering org, and shaping the agentic developer platform that will define how engineers build software here for years to come. What You'll Do • Define and drive the technical strategy for the DevEx platform. Set the long-term architectural direction across CI pipeline infrastructure, test experience, delivery systems, artifact management, and agentic developer tooling, balancing engineering excellence with business priorities and org-wide scale., • Solve the highest-complexity developer productivity problems at CoreWeave. Identify systemic bottlenecks that span teams, design solutions that operate reliably across 40+ data centers, and drive execution from architecture through production., • Lead the agentic developer platform from a technical standpoint. Evolve the architecture of MCP servers, tool integration, and agent-accessible DevEx APIs so that autonomous workflows become a first-class primitive for every engineer at CoreWeave., • Drive cross-team technical initiatives. Work across DevEx, infrastructure, security, SRE, and product engineering to align on platform direction, resolve deep architectural trade-offs, and establish engineering standards that raise the bar org-wide., • Mentor and develop Senior II engineers. Actively coach ICs, elevate technical decision-making across the team, and build the engineering depth needed to sustain DevEx as CoreWeave scales., • Proactively reduce systemic risk. Identify technical debt and reliability gaps before they become incidents, and drive durable improvements to platform resilience, efficiency, and developer trust.What We're Looking For, • 10+ years of software engineering experience with significant time spent building and owning production developer platforms, build infrastructure, or large-scale distributed systems., • Demonstrated ability to define and execute multi-year technical strategies across complex, cross-team domains., • Deep systems design expertise. You design for correctness, scalability, and long-term maintainability. You have strong opinions on API design, service architecture, and platform abstractions, and you can articulate why., • Proficiency in Go, Python, or similar languages with a track record of shipping large-scale production services in cloud-native environments., • Expertise in Kubernetes and IaaC (Infrastructure as Code) at the platform design level. You understand the scheduler, the API machinery, and the extension points., • Experience with or strong leadership interest in AI-native developer tooling, including agentic frameworks, LLM-integrated developer workflows, or autonomous software development agents., • Proven ability to influence technical decisions at the organization level, build alignment across teams with competing priorities, and communicate clearly with engineering leadership., • A track record of growing senior engineers and building technical strength in the teams around you. You are an inspiring leader.Nice to Have, • Deep expertise in one or more DevEx domains, including large-scale CI, build and test systems (Bazel, Buildkite, remote execution, caching), deployment (GitOps, ArgoCD), artifact storage and distribution, or ephemeral development environment infrastructure., • Hands-on experience designing and operating progressive delivery systems at scale, including SLO-based quality gates, automated multi-stage pipeline orchestration, and custom Kubernetes operators, across heterogeneous deployment environments., • Experience architecting and landing agentic systems at scale, including designing MCP servers, agent governance models, or tool-augmented LLM workflows that operate reliably in production with consistent user-facing value-add. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description 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 Description About Karbon Karbon is the global leader in AI-powered practice management software for accounting firms. We provide an award-winning cloud platform that helps tens of thousands of accounting professionals work more efficiently and collaboratively every day. With customers in 40 countries, we have grown into a globally distributed team across the US, Australia, New Zealand, Canada, the United Kingdom, and the Philippines. We are well-funded, ranked #1 on G2, growing rapidly, and have a people-first culture that is recognized with Great Place To Work® certification and on Fortune magazine's Best Small Workplaces™ List. We are looking for a Director of Performance Marketing to lead Karbon's paid and digital growth engine at a pivotal moment. AI is not on the horizon for marketing - it is here. Buyer discovery is increasingly happening through AI-native surfaces. The next generation of search is agentic. This role demands a leader who is not watching these changes unfold, but actively building strategy and systems to get ahead of them. You will own paid media strategy and investment, lead Karbon's approach to AI-native and agentic search, drive the website as a high-converting commercial asset, and architect lifecycle campaigns that grow revenue across the full customer journey. Critically, you will also be expected to build a team that uses AI to work smarter - automating intelligently, experimenting faster, and scaling output without scaling headcount proportionally. About the Role Paid Media Strategy & Execution • Own Karbon's paid media portfolio with agency support across SEM, paid social, display, retargeting, content syndication, and review platforms - leveraging AI-powered bidding, audience modeling, and creative optimization to maximize performance, • Manage a multi-million dollar demand gen and advertising budget and maintain the highest standards for ROAS and payback period efficiencies, • Apply AI-driven tools and platforms to improve targeting precision, reduce CAC, and scale what works, • Partner closely with Sales and RevOps to align paid investment with pipeline targets - using predictive analytics and AI-assisted forecasting to sharpen planning, • Build rigorous measurement frameworks and attribution models, incorporating AI-assisted analysis to surface insights faster and connect spend to revenue outcomes with greater confidence Website & Digital Engagement • Own karbonhq.com as a high-performing commercial asset - along with leading the team responsible for traffic quality, conversion rate optimization (CRO), and pipeline contribution and web development., • Deploy AI-powered personalization, dynamic content, and intelligent chat to improve on-site engagement and accelerate the path from visit to conversion, • Lead experimentation at scale - using AI-assisted testing tools to run more experiments faster, identify winning variants sooner, and continuously compound conversion improvements, • Ensure the site is structured and tagged for maximum discoverability by both traditional crawlers and AI ingestion pipelines, treating technical site health as a strategic competitive lever, • Own Karbon's presence on G2 and other review platforms as both a paid and organic performance channel, covering category sponsorship, profile optimization, review generation programs, and the deployment of G2 assets (badges, comparison pages, buyer intent signals) as conversion tools across the site and campaigns. AI-Native Search Strategy: SEO, GEO, AEO & Agentic Search • This is a defining responsibility of the role. Own and lead Karbon's strategy across the full modern search stack - traditional SEO, generative engine optimization (GEO), answer engine optimization (AEO), and agentic search channels, • Drive Karbon's visibility and authority inside AI-native discovery surfaces - including ChatGPT, Perplexity, Google AI Overviews, Claude, Copilot, and the growing ecosystem of AI agents that research and recommend software on behalf of buyers, • Develop a structured approach to being cited, referenced, and recommended by AI models - understanding how large language models retrieve and surface brand information, and building content and technical strategies that improve Karbon's presence in those outputs, • Anticipate and build for the agentic web: as AI agents increasingly handle research, comparison, and vendor shortlisting on behalf of human buyers, ensure Karbon's digital footprint is optimized to be discovered, understood, and recommended by those agents, • Collaborate with content, product marketing, and engineering to continuously evolve site architecture, structured data, and content strategy in response to how AI models index and interpret information Growth Campaigns & Customer Lifecycle • Design and execute integrated growth campaigns across the full customer lifecycle - from AI-assisted prospecting and first-touch acquisition through expansion and retention, • Use AI tools to accelerate campaign development: faster creative iteration, smarter audience segmentation, AI-generated copy variants tested at scale, and intelligent send-time and channel optimization, • Build and optimize nurture programs powered by behavioral signals and AI-driven lead scoring - ensuring the right message reaches the right prospect at the right moment, • Partner with product marketing, customer success, and sales to develop campaigns that grow pipeline at the top of funnel and accelerate revenue within the existing customer base, • Own Karbon's buyer intent data strategy, selecting and managing intent platforms (such as G2 Buyer Intent, Bombora, or 6sense), and operationalizing intent signals across paid targeting, outbound prioritization, and lifecycle campaign triggers to ensure the team is acting on in-market behavior in real time. AI-Powered Demand Generation • Champion AI adoption across the demand generation function. Identify, evaluate, and implement AI tools and processes that meaningfully improve lead to set speed, quality, and output - from creative demand gen production and workflows to analytics and reporting, • Build and document AI-enhanced workflows that allow a lean team to operate with the output of a much larger one: scaling content, campaigns, and experimentation without proportional headcount growth., • Stay current on the rapidly evolving AI tool landscape, from LLM-powered marketing platforms to autonomous campaign agents, and bring relevant innovations to the team before competitors do, • Foster a culture of intelligent experimentation: encourage the team to test new AI capabilities, share learnings, and continuously raise the bar on what modern marketing operations look likeAbout You!, • 8+ years of performance marketing experience, with at least 3 years in a senior leadership role in a B2B SaaS environment, • Deep B2B vertical SaaS experience is required - you understand the nuances of marketing to a specific professional audience and have owned pipeline and revenue targets in a SaaS context, • A genuine practitioner of AI in marketing - not someone who talks about AI, but someone who uses it daily, builds with it, and has meaningfully changed how their team works because of it, • Demonstrable expertise in AI-native and agentic search - you understand how GEO, AEO, and agentic discovery channels work, why they matter, and how to build strategy around them; this is a hard requirement, not a nice-to-have, • Proven track record in paid media strategy - managing significant budgets across SEM, paid social, and programmatic, with command of AI-powered ad platforms and performance optimization, • Experience owning website performance as a commercial metric - with measurable CRO outcomes and a track record of deploying personalization and AI-assisted optimization, • Data-driven and analytically rigorous - you build attribution models, question default dashboards, and make decisions grounded in evidence rather than instinct alone, • A strong cross-functional leader who can align content, product, engineering, and sales around a coherent digital and AI search strategy, • Clear and confident communicator - able to translate AI strategy and performance data into executive-ready narrative and business impact, • Gain global experience across Australia, New Zealand, UK, and Canada, • Strong benefits package including:, • Flexible Time Off with an encouraged 4 weeks use per year, • Company paid medical for you and eligible spouse/partner and dependents, • Paid dental and vision and eligible spouse/partner and dependents, • 401(k) with company matching, • Flexible Spending Account, • Up to 8 weeks paid parental leave, • Work-from-home stipend, • Work with (and learn from) an experienced, high-performing team, • A collaborative, team-oriented culture that embraces diversity, invests in development and provides consistent feedback, • Be part of a fast-growing company that firmly believes in promoting high performers from within As we hire across various locations within the USA we are required by law to include a reasonable estimate of the compensation range for this role. The range provided is broad and takes into consideration a wide range of factors that are reviewed when making a hiring decision, such as physical location/cost of living in that location, years of experience, skills, and other business needs. It is not typical for a candidate to be hired at or near the top of the pay range and each compensation decision is dependent on each individual case. The base salary is one component of the total compensation package, which for some roles may include a target bonus, for some roles very competitive equity grant, and very generous benefits. While we believe competitive compensation is a critical aspect of you deciding to join us, we do hope you also spend time considering why our mission, purpose and values are right for you. We are creating something transformational here, and we hope you are as excited about the future as we are! The estimated base salary range for this role is: $190,000—$210,000 USD Karbon embraces diversity and inclusion, aligning with our values as a business. Research has shown that women and underrepresented groups are less likely to apply to jobs unless they meet every single criteria. If you've made it this far in the job description but your past experience doesn't perfectly align, we do encourage you to still apply. You could still be the right person for the role! We recruit and reward people based on capability and performance. We don't discriminate based on race, gender, sexual orientation, gender identity or expression, lifestyle, age, educational background, national origin, religion, physical or cognitive ability, and other diversity dimensions that may hinder inclusion in the organization. Generally, if you are a good person, we want to talk to you. 😛 If there are any adjustments or accommodations that we can make to assist you during the recruitment process, and your journey at Karbon, contact us at for a confidential discussion. At this time, we request that agency referrals are not submitted for this position. We appreciate your understanding and encourage direct applications from interested candidates. Thank you!

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. The Role We're seeking a Senior Data Scientist to lead the science behind a best-in-class ticketing experience for fans, with a focus on the operational journey from ticket purchase through event entry. In this role, you will own and develop predictive and decisioning models that proactively identify and mitigate fulfillment issues, strengthen inventory validation, and optimize customer service policies — all while balancing fan experience with operational constraints. You will work on problems where getting it right matters: predicting issues before they impact fans, identifying emerging pain points at scale, and turning moments of potential failure into opportunities to build trust and loyalty. This includes building and productionizing models on both structured and unstructured data, such as LLM-backed pipelines that extract actionable signals from customer communications and support interactions. You will partner closely with product managers, analytics engineers, operations leaders, and other data scientists to translate ambiguous business problems into durable, production-ready data products, and to influence decisions that measurably improve the fan experience. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA What You'll Do • Own the science behind ticket fulfillment: Drive reliability, ease of use, and customer satisfaction by crafting and deploying scalable, production-grade machine learning models that directly inform operational systems and decisions., • Drive data-informed strategy: Work with operations partners to shape roadmaps, using analysis and modeling to identify, prioritize, and size high-impact opportunities that can be implemented and sustained at scale., • Design for validation: Apply principles of experimentation and causal inference to ensure work products can be rigorously evaluated, defining offline validation and online testing strategies early in the design process., • Build the data foundation: Partner with platform and analytics teams to ensure data availability and quality, including event instrumentation, batch and streaming ETL, feature stores, and monitoring for model performance, bias, and drift., • 5+ years of industry experience in data science or machine learning, with an MS or PhD in mathematics, statistics, computer science, or a related quantitative field preferred., • Strong programming skills in Python, with experience using numerical and machine learning libraries such as Pandas, NumPy, SciPy, scikit-learn, and gradient-boosting frameworks (e.g., LightGBM, XGBoost)., • Demonstrated experience building, deploying, and iterating on production machine learning models in cloud environments (e.g., AWS, Azure), including post-deployment monitoring and improvement., • Expertise working with large-scale data using modern analytics and compute platforms such as Snowflake, BigQuery, or Databricks, with strong proficiency in SQL., • Proven ability to establish data science methodology in new or ambiguous domains, owning work end to end—from stakeholder alignment and problem framing to delivery and measurable impact., • Experience applying machine learning to operational problem spaces such as ticket fulfillment, fraud detection, customer service, or trust and safety., • Experience with production ML platforms and workflows, such as Metaflow or comparable systems (e.g., Airflow-based ML pipelines, Kubeflow, SageMaker Pipelines, Prefect, Flyte), including model versioning, scheduling, and monitoring., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.

This role is focused on building and maintaining our LLM gateway service—a unified API platform that connects customers to multiple LLM providers. Build and maintain integrations with multiple LLM providers and AI services (OpenAI, Anthropic, Google Vertex, AWS Bedrock, etc. Hands‑on experience

Job DescriptionAbout Amigo Amigo partners with healthcare organizations to deploy robust AI infrastructure that directly serves patients and providers. Our agents handle clinical workflows and patient engagement across the entire journey: pre-visit intake, care navigation, post-visit care plans, patient monitoring, and more. We're fresh off our Series A backed by Tier 1 investors like Madrona, General Catalyst, and Optum Ventures. Our work is validated with leading academic medical institutions. Our agents have reached 3M+ patient encounters and are on track to 10x this year. About this role As a Sales Engineer at Amigo, you'll be the technical imagination behind every deal. You'll hack together compelling POCs, live demos, and experimental AI experiences that show prospects what's possible—not just what exists today. You're the person who takes a vague customer problem, disappears for a few hours, and comes back with a working prototype that makes the room say "holy shit." This role exists so our Applied AI Engineers can stay focused on production deployments and knowledge consolidation. You own the pre-sales technical surface: scoping what's possible, building proof-of-concept agents, running technical discovery, and making the product feel real before ink hits paper. You work at the intersection of sales and engineering—close enough to the product to build on it, creative enough to stretch it into new territory. This is a role for builders who get energized by innovation and experimentation. You'd rather prototype five ideas in a week than polish one for a month. You're excited by novel AI use cases and want to be the first person to explore what our platform can do in new clinical domains. What you'll do * Build rapid POCs and demo environments tailored to specific prospect workflows and clinical use cases * Partner with AEs and the sales team during technical discovery to scope what's possible and shape deal architecture * Design and deliver live technical demonstrations that translate prospect pain points into working agent experiences * Prototype experimental agent configurations that explore new use cases—pushing the boundaries of what our platform can do * Run technical deep-dives with prospect clinical, IT, and operations teams to understand integration requirements and workflow constraints * Create reusable demo assets, reference architectures, and POC templates that accelerate future sales cycles * Translate technical objections into solutions during the sales process—security, compliance, integration feasibility * Collaborate with Agent Engineers to hand off won deals cleanly, documenting POC learnings and customer expectations * Provide technical credibility in prospect conversations, bridging the gap between our platform capabilities and customer-specific needs * Feed insights from the field back to product and engineering—what prospects are asking for, what patterns emerge, where the platform should go next * Stay current on AI/LLM developments and competitor capabilities to maintain technical edge in sales conversations What we're looking for * 3+ years of experience in sales engineering, solutions engineering, or a technical pre-sales role at a SaaS or AI company * Strong hands-on coding ability—you can build a working prototype, not just talk about one. Python proficiency required * Experience with LLMs, prompt engineering, and building on AI platforms * A hacker mentality: you're fast, scrappy, and energized by building things from scratch under time pressure * Genuine excitement for AI innovation and exploring experimental use cases—you follow the space obsessively * Ability to run a room—comfortable presenting to technical and executive audiences, handling objections live, and thinking on your feet * Strong discovery skills: you ask the right questions to uncover real problems, not just stated requirements * Experience working deals alongside account executives, understanding sales cycles and buyer psychology * Clear technical communication—you can explain complex systems to non-technical stakeholders without dumbing it down * Comfort with ambiguity: prospects don't hand you clean requirements, and you thrive in that environment Nice to have * Experience in healthcare technology or regulated industries * Background as a software engineer who moved into a customer-facing role (or vice versa) * Familiarity with healthcare workflows, EHR systems, or clinical terminology * Experience building demo environments or sandbox platforms * Understanding of healthcare compliance requirements (HIPAA, SOC 2) * Track record of directly influencing deal outcomes through technical work Benefits (available to Full-Time Employees) Health & Wellness * Comprehensive health, dental, and vision insurance * Daily catered lunch and dinner * Mental health support and wellness coaching * Flexible wellness stipend for fitness, therapy, or personal growth Growth & Development * Annual learning budget for courses, books, or conferences * Conference attendance budget for professional development * Annual team offsite * Academic collaboration opportunities * Unlimited PTO Our Core Values * Patients Win, We Win If patients aren't getting better care, we haven't earned the right to scale. Every internal decision gets pressure-tested: does this make patients' lives better? If we can't draw the line, we question why we're doing it. * High Standards, High Care We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas—not despite our standards, but because of them. * Thoughtful Urgency We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both. * Intensely Measured We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we're measuring something but never acting on it, we stop measuring it. Who Builds With Us * Low ego: Politics and territory don't interest you. The best ideas win, regardless of who has them. * Direct: You say the hard thing, challenge ideas openly, and commit fully once decided. * High agency: You thrive on trust rather than instruction. When you see something is broken, you fix it. You don’t file tickets and wait for someone else. * Bar of excellence: You hold yourself to a bar most people wouldn't, and you want teammates who do the same. * Skeptical: You push back on rules that don’t make sense and question assumptions that haven’t earned their place. Compensation Range: $170K - $200K

Job DescriptionAI LEAD — AGENTIC AI CONSULTANTCharlotte, NC · New York, NY · Hybrid / Remote Options AvailableFull-Time · Senior / Principal Level · Technology ConsultingFunction AI & Digital Transformation — Agentic Systems PracticeLevel Principal Consultant Locations Charlotte, NC | New York, NY | HybridAbout the RoleWe are looking for a visionary AI Lead to spearhead the design, development, and delivery of enterprise-grade Agentic AI solutions. In this role you will combine deep technical expertise in large language models (LLMs), autonomous agent orchestration, and multi-agent frameworks with a sharp consulting mindset to drive measurable business value for Fortune 500 clients across financial services, healthcare, and retail verticals.As the practice lead you will own the end-to-end agentic AI delivery lifecycle — from opportunity identification and solution architecture through implementation, change management, and post-deployment optimization — while simultaneously growing a high-performing team and shaping internal AI methodology. LLM / GenAIMulti-Agent SystemsRAG PipelinesAI StrategyEnterprise ArchitectureKey ResponsibilitiesClient Delivery & Solutioning• Architect and lead delivery of Agentic AI systems using frameworks such as LangGraph, AutoGen, CrewAI, or custom orchestration layers on Azure / AWS / GCP.• Design multi-agent pipelines incorporating reasoning, planning, tool-use, memory, and feedback loops tailored to enterprise workflows.• Partner with C-suite and senior stakeholders to translate ambiguous business challenges into well-scoped AI roadmaps and delivery plans.• Conduct AI readiness assessments, data audits, and opportunity prioritization workshops for prospective clients. Technical Leadership• Define reference architectures for RAG, tool-augmented agents, AI gateways, and human-in-the-loop workflows.• Drive responsible AI governance — including bias audits, hallucination mitigation, prompt-injection hardening, and model risk frameworks.• Establish engineering best practices: CI/CD for ML, LLMOps, evaluation harnesses, and performance benchmarking.• Stay at the cutting edge — evaluate emerging models (GPT-o3, Claude 3.x, Gemini Ultra, open-source LLMs) and tooling for fit-for-purpose applicability. Practice & Business Development• Originate and expand client relationships; contribute to proposals, RFP responses, and Statements of Work.• Build and scale the agentic AI practice — create reusable accelerators, IP assets, and delivery playbooks.• Mentor and develop a team of AI engineers, ML scientists, and business analysts; conduct performance reviews and career development planning.• Represent the firm at conferences, publish thought-leadership content, and contribute to the external AI community. Required Qualifications• 8+ years of overall technology experience with at least 3 years focused on AI / ML systems in a consulting, product, or enterprise engineering capacity.• Proven hands-on experience designing and deploying LLM-based applications and autonomous agent systems in production environments.• Proficiency in Python and relevant AI/ML libraries (LangChain, LlamaIndex, Hugging Face Transformers, PyTorch / TensorFlow).• Deep familiarity with vector databases (Pinecone, Weaviate, pgvector), semantic search, and knowledge graph integration.• Experience with cloud AI platforms: Azure OpenAI Service, AWS Bedrock, or Google Vertex AI.• Strong understanding of prompt engineering, fine-tuning (LoRA, QLoRA, RLHF), and model evaluation methodologies.• Exceptional executive communication skills — ability to present complex AI concepts to non-technical senior leadership.• Bachelor's or Master's degree in Computer Science, Data Science, AI, Engineering, or a closely related field. Preferred Qualifications• Industry certifications: AWS Certified ML Specialty, Google Professional ML Engineer, Azure AI Engineer Associate.• Experience with agentic frameworks at scale: LangGraph, Microsoft Semantic Kernel, Autogen, or similar.• Background in financial services, healthcare, or retail — understanding of sector-specific regulatory and compliance constraints.• Published research, patents, open-source contributions, or conference speaking on AI/ML topics.• Prior consulting experience at a Big-4, boutique AI firm, or hyperscaler professional services division.• Familiarity with enterprise integration patterns, API management, and MLOps tooling (MLflow, Weights & Biases, SageMaker Pipelines).

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

Job Description At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our unique data and solutions empower over 6,000 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights. Work alongside Similarwebbers from around the globe who are bright, curious, practical, and genuinely good people. We're hiring a Data Solutions Engineer (DSE) to combine deep technical expertise with strong customer-facing skills to design and deliver scalable data solutions for enterprise clients. You'll partner with Enterprise Sales and Account Management to lead technical discovery, solution design, and integration strategy across complex, consultative deals. This is a revenue-generating pre-sales role focused on driving technical adoption and long-term customer success. What You'll Do Technical Consultation & Solution Design • Act as a trusted advisor, translating business needs into scalable data architectures, • Design integration solutions using APIs, data feeds, and cloud platforms, • Architect end-to-end data pipelines into client ecosystems (Snowflake, Databricks, AWS, GCP), • Design and guide implementation of data ingestion workflows (API, S3, warehouse sharing), • Advise on data formats (CSV, JSON, Parquet, Delta) and performance trade-offs, • Deliver custom data samples aligned to client use cases, • Use SQL/Python to validate structure, schema, and analytical fit, • Partner with Sales on technical discovery, solutioning, and deal execution, • Support Account Management on expansion and deeper adoption, • Collaborate with Product, Data Engineering, and Customer Success teams, • Stay current on cloud data architecture, APIs, and AI/LLM integrations, • Provide feedback on APIs, schema design, and data delivery, • Support technical governance, performance validation, and troubleshootingWhat You Bring to Similarweb:, • 3-5+ years in solutions engineering, solution architecture, or data consulting, • Experience supporting enterprise, consultative sales cycles, • Strong SQL and data modeling experience, • Deep familiarity with cloud platforms (AWS, GCP, Azure) and data warehouses (Snowflake, Databricks), • Experience with APIs (REST/GraphQL), JSON, and authentication methods, • Knowledge of data formats (Parquet, Delta, CSV) and ETL concepts, • Experience with AI/LLM integrations and Model Context Protocol (MCP), • Background in data delivery via APIs, object storage, or warehouse sharing, • Strong ability to translate technical concepts into business value, • Excellent communication and stakeholder management The base salary range for this position in New York City is $90,000 to $125,000, plus benefits including: medical, dental and vision insurance, 401K plan, potential equity, employee stock purchase plan and paid sick and parental leave. Individual compensation is based upon a number of factors, including qualifications and relevant experience. The base salary range above is for the New York City metro area and could vary for candidates in other locations. Why you'll love being a Similarwebber: You'll actually love the product you work with: Our customers aren't our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said "the product." Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You'll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You'll find the resources you need to take the initiative and create meaningful change within the organization. We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also strongly emphasize community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it's Career Week, personalized coaching, or our ongoing learning solutions, you'll find all the tools and opportunities you need to develop your career right here. Diversity isn't just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day. #LI-KZ #LI-Hybrid We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

Job DescriptionJob Description Summary – AI Optimization Engineer (Onsite, Jersey City, NJ) We are seeking an experienced AI Optimization Engineer to support large-scale AI/ML and Generative AI workloads for an enterprise environment. This role focuses on optimizing, deploying, and managing machine learning and large language models (LLMs) on GPU-accelerated HPC infrastructure. The ideal candidate will have strong experience in Python-based machine learning, deep learning frameworks, model optimization techniques, and scalable AI infrastructure. The engineer will work closely with AI, infrastructure, and DevOps teams to design efficient model training and inference pipelines, implement SLURM-based workload orchestration, and deploy containerized ML solutions in production environments. Responsibilities include optimizing model performance using techniques such as pruning, quantization, and knowledge distillation, managing inference workflows using Triton Inference Server, and monitoring system performance using Prometheus and Grafana. This role requires hands-on experience with HPC environments, GPU clusters, containerization technologies, and Linux system administration, along with strong knowledge of machine learning algorithms, deep learning architectures, and modern AI development tools. Experience with cloud platforms, vector embedding, and enterprise-scale AI deployments is highly preferred. Core Responsibilities * Design and optimize AI/ML workloads on GPU-based HPC clusters. * Deploy and manage large language models (LLMs) in scalable production environments. * Implement model optimization techniques including pruning, quantization, and knowledge distillation. * Develop and manage automated job scheduling using SLURM with REST and Flask APIs. * Deploy ML models using containerized microservices architectures. * Monitor system performance using Prometheus and Grafana. * Optimize inference pipelines using Triton Inference Server and TRTLLM. * Conduct exploratory data analysis and model performance evaluation. * Collaborate with infrastructure and ML teams to improve scalability and efficiency. Skills Required The AI Optimization Engineer must have strong experience in Python-based machine learning and deep learning, including NumPy, scikit-learn, TensorFlow, PyTorch, and Keras, with hands-on knowledge of supervised and unsupervised learning, neural networks, transformer-based models, NLP, CNNs, and Generative AI concepts. The role requires expertise in AI infrastructure and optimization, including HPC environments, GPU clusters, SLURM workload management, Triton Inference Server, TRTLLM, and model optimization techniques such as pruning, quantization, and distillation for scalable LLM deployment. Candidates should also have experience with DevOps and deployment tools such as Docker, Kubernetes, MLFlow, Terraform, Jenkins, GitHub, and HuggingFace, along with strong skills in performance monitoring using Prometheus and Grafana. Additional requirements include Flask API development, Linux administration (RHEL/CentOS), container runtimes like Enroot, Pyxis, and Podman, and experience with data analysis and visualization tools such as Plotly, Seaborn, and Matplotlib.

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

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

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

Job 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 Who We Are: At Ordergroove, our mission is to transform commerce by putting relationships, not transactions, at the center. We help leading brands create seamless subscription and membership experiences that turn one-time shoppers into lifelong customers. Founded in 2010, we are a remote-first company whose platform powers the world's most loved recurring experiences for brands like L'Oréal, GNC, and PetSmart. Our team of curious builders and bold problem solvers is united by one belief: meaningful relationships drive lasting growth. Join us and help shape the future of relationship commerce. About the Role: We're seeking an exceptional Principal Product Manager to own and evolve a critical part of our Relationship Commerce platform, one that sits at the intersection of ecommerce infrastructure, subscription intelligence, and applied AI. This is a senior individual contributor role for a product leader who wants to go deep on the hardest problems, shaping strategy, shipping ambitious AI-powered experiences, and setting the bar for product craft across the company. This role is ideal for someone who loves to solve complex problems, leads through clarity and influence, and is energized by building products that scale across hundreds of brands while still feeling deeply customer-centric. As a Principal PM at Ordergroove, you'll set product vision and strategy for one of our most strategic surfaces, partner with senior leadership on the biggest bets, and ensure we're building durable, extensible, AI-native solutions that help brands move from transactional commerce to long-term customer relationships. You'll partner deeply with Engineering, Design, Data, GTM, and Customer teams to translate complex merchant needs into elegant platform solutions, balancing short-term wins with long-term growth and scale. This is a hands-on role for someone who can zoom out to define strategy and zoom in to sharpen execution and raise the bar for product quality and impact. What You Will Do: • Own & Scale the Merchant Growth Pillar – Take full ownership of the product area at the heart of Ordergroove's value, defining how merchants get started, see value, and grow. You'll lead high-stakes initiatives across onboarding, incentives, cancellations, and daily workflows, pairing strong execution with clear strategic direction beyond the current roadmap., • Ship AI as a Foundational Capability – Lead the application of AI across merchant and subscriber experiences, agents that automate complex workflows, intelligence that surfaces the right action at the right moment, and personalization that drives measurable retention and growth. Treat AI as core infrastructure, not a feature bolt-on., • Raise the Bar on Experience-First Product Design – Apply a strong UI/UX lens to merchant-facing workflows, working closely with Design and Engineering to deliver best-in-class self-service. You'll advocate for intuitive, opinionated product design that turns satisfied merchants into raving fans., • Operate as a High-Impact, High-Visibility Product Leader – Serve as a senior Product voice for Merchant Growth with regular C-suite exposure and influence. You'll earn trust across Product, Engineering, GTM, and Operations, and be a key voice in shaping strategy, prioritization, and how Product shows up across the company, leading through influence, not org chart., • Set Product Strategy & Direction – Define and communicate a clear, long-term product vision aligned to company goals and customer needs. Translate strategy into focused roadmaps that emphasize outcomes over output and provide clarity across teams., • Drive Cross-Functional Alignment – Partner deeply with Engineering, Design, Data, Operations, and Go-To-Market teams to align on priorities, trade-offs, and execution, ensuring solutions drive adoption, retention, and revenue., • Champion Customer-Led Decision Making – Ground product decisions in deep customer understanding, leveraging direct merchant engagement, research, and data to balance merchant needs with end-consumer impact., • Required, • 8+ years of product management experience with proven success in SaaS, ecommerce, or subscription businesses., • Track record of owning strategy and delivering measurable impact at scale on complex, technical product surfaces., • Hands-on experience shipping AI or ML-powered product experiences: agents, intelligent automation, personalization, or applied LLM features in production., • Strong customer empathy with experience leveraging qualitative and quantitative insights., • Excellent partnership, communication, and influencing skills across technical and non-technical stakeholders and teams. Proven ability to lead through influence without direct authority., • Experience owning product strategy across multiple product areas or workstreams., • Proven experience driving product decisions tied to business outcomes such as revenue growth, retention, expansion, or operational efficiency., • Comfort operating in ambiguous, fast-growing environments, bringing clarity, structure, and momentum where none exists., • Background in metrics, experimentation frameworks, and data-informed prioritization., • Experience with Agile product development practices., • Preferred, • Experience in ecommerce or subscription-based D2C brands. About Ordergroove: Ordergroove powers recurring revenue for the world's largest and most innovative retailers including Ulta, Dollar Shave Club, La Colombe Coffee, Bonafide Health, BarkBox, and more. As a direct result, more than 11% of adult Americans have a subscription powered by Ordergroove. Our technology makes seamless, one-of-a-kind subscriber and membership experiences possible to turn one-time transactions into profitable recurring customer relationships. Ordergroove's powerful platform empowers merchants with highly customizable options such as flexible promotions, bundling, and analytics to bolster their bottom line while making customers' lives easier. We recently achieved a milestone year with 152% year over year new business growth, and were rated best-in-class subscription technology by CB Insights and eCommerce Platform of the Year by RetailTech Breakthrough Awards. Our company values celebrate collaboration, different perspectives, and curiosity with the goal of getting to the right answer, no matter who came up with it. At Ordergroove we are committed to creating a welcoming and supportive environment for all people. We encourage people with different backgrounds and experiences to join our growing team so that we gain different perspectives and build the best team possible. We demand the best of ourselves and each other and never miss an opportunity to celebrate our successes. With a fully flexible work from anywhere culture, staying connected and supporting each other are always top of mind. We build our tight-knit community through small group events like trivia night, cooking classes, and book clubs. We encourage cross-functional relationships through virtual coffees and we stay close to the business through weekly team updates and quarterly all-hands meetings. At Ordergroove, we focus on flexibility and empowering our team to make the right decisions for themselves. We have flexible PTO and a totally remote (anywhere in the US) workforce, and an annual personal development budget that you use for what matters to you (wellness, career development, productivity at home, etc). And of course, that is on top of the basics like competitive compensation (including stock options) and incredible, affordable benefits. Come join our amazing team while we enable the fastest-growing segment of commerce that makes life easier for millions of consumers every day! At Ordergroove, we want to hire, develop and retain the best talent, making Ordergroove a top destination to grow your career. The pay transparency law is a way of narrowing the gender pay gap and fostering an engaged and positive working environment. It is also a way to share what we think is a reasonable, equitable and competitive compensation structure for the roles on our team. The total compensation range (base + annual bonus) for this role is starting at $200k OTE + equity.

Job Description Who We Are Yieldmo is an advertising platform that helps brands invent creative experiences through tech and AI, using custom ad formats, proprietary attention signals, predictive format selection, and privacy-safe premium inventory curation. Yieldmo believes all ads should be human-centered, tailored, and provoke users' emotions and actions. Yieldmo helps brands deliver the best ad for every impression opportunity, merging creative and media for proven results. What We Need We're building a general-purpose, AI-powered search engine that will redefine how users discover and engage with content across major publishers. We're looking for engineers to join the team building it — people who want hands-on ownership of real problems in retrieval, ranking, data, and ML infrastructure at scale. This is a generalist role, and we're open to strong candidates from multiple backgrounds. We are hiring across a range of seniority levels (mid-senior through staff) and are specifically interested in engineers who fit one of the following profiles: • ML-leaning engineer: Strong machine learning foundations with solid applied / backend engineering skills — you've shipped ML systems into production, not just notebooks., • Data / ingestion-leaning engineer: Strong data engineering and large-scale ingestion background, with ML as a working secondary skill — you're comfortable picking up models, embeddings, and evaluation pipelines. What You Can Expect In This Role • Design, build, and operate core components of Yieldmo's AI-driven search engine — retrieval, ranking, indexing, ingestion, or ML infrastructure, depending on your strengths., • Be a hands-on builder: writing production code, iterating quickly, and owning systems from prototype through scale., • Partner closely with Product, ML, and Engineering teams to integrate modern retrieval, ranking, and recommendation technologies (LLMs, embeddings, vector search, RAG)., • Contribute to the technical direction of the search platform and influence architectural decisions within your area., • Build and operate large-scale data and content ingestion pipelines that feed the search system., • Drive quality, performance, relevance, and reliability bars for the features and services you own., • Mentor peers and, for more senior candidates, grow into tech-lead responsibilities as the team scales. Requirements We expect every candidate to meet the core bar below, plus go deep in at least one of the three specialty tracks that follow. Core • Strong software engineering fundamentals and production experience building and operating backend systems at scale., • Proficiency in Python and SQL; comfort with Docker and microservices architectures., • Working familiarity with modern AI/search building blocks: LLMs, embeddings, vector databases, retrieval-augmented generation (RAG), function/tool calling., • Ability to work cross-functionally in a fast-moving environment, with excellent written and verbal communication., • Strong ML foundations: ranking/relevance, embeddings, representation learning, or LLM fine-tuning and evaluation., • Proven track record shipping ML systems to production, including training pipelines, model serving, and online/offline evaluation., • Strong data engineering background: large-scale ingestion, streaming and batch pipelines, data modeling, and storage/query optimization., • Experience with distributed data systems (e.g., Kafka, Spark, Flink, Airflow, or equivalents) and modern data lake / warehouse architectures., • Hands-on experience designing or building search / retrieval systems — indexing, query processing, ranking, and relevance., • Working knowledge of both classical (inverted index, BM25, learning-to-rank) and modern (dense retrieval, hybrid search, rerankers) approaches., • Practical understanding of the data and ML layers that feed a search system, enough to debug and improve them end-to-end. Hiring Process Select candidates will be invited to schedule a 30 minute screening call with a member of our Talent Acquisition team. We will discuss the Hiring Process details at that time. The hiring process typically includes, but is not limited to: • A 30 minute video interview with the Hiring Manager., • Candidates will be invited to join a remote on-site interview round, consisting of video interviews with various team members and leadership., • Successful candidates will subsequently be made an offer. Nice to Haves • Exposure to or direct experience at leading AI/search organizations (OpenAI, Anthropic, Perplexity, xAI, Google DeepMind, etc.)., • Experience with publisher-scale content, recommendation systems, or adtech. Our Values INNOVATION: We encourage curiosity, embrace new ideas, and believe no idea is too bold. AGILITY: We embrace change, act quickly, and adapt with a focus on getting things done. INTELLIGENCE: We make decisions guided by data, always aiming to deliver maximum value to our customers. AUTONOMY: We empower individuals to create their own paths with flexibility and independence. TOGETHERNESS: We foster an environment where teamwork thrives, support is mutual, and every voice matters. What We Offer We believe that diverse people and perspectives lead to breakthrough ideas, therefore we provide comprehensive benefits and an inclusive culture to support our valued team members. • Remote Work: Our team is fully distributed, though we love an opportunity to get together at our annual offsites, holiday parties, and more., • 100% Company Paid Health Coverage: Choose the medical, dental, and vision plan that's best for you and your family – all with options for 100% company paid coverage., • 401(k) Plan: Invest in yourself by participating in our 401(k) plan with a company match., • Equity: Share in Yieldmo's success through our employee stock option program., • Flexible Time Off, Company Slowdowns, and Summer Fridays: Take time off to relax and rejuvenate on your own terms with flexible time off, multiple company slowdowns, and Summer Fridays., • Home Office Setup and Stipend: Setup your home office for success with our premium technology packages and an additional stipend for any extra needs., • Professional Development: Grow your hard and soft skills with our annual professional development stipend. US Jobs: The base salary range for this role is: $200,000-$250,000 per year. The range listed is just one component of Yieldmo's total compensation package for employees. Individual compensation decisions are based on a number of factors, including experience, level, skillset, and balancing internal equity relative to peers at the company. We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. In these situations, the updated salary range will be communicated with you as a candidate. For all other countries, we have competitive pay bands based on market standards.

Job Description As a Forward Deployed Accountant (FDA), you’ll play a pivotal role in driving adoption, expansion, and technical success for FloQast’s Transform product line. You’ll work directly with enterprise customers — and occasionally select corporate accounts — to deploy AI Agents, resolve complex technical challenges, and ensure customers realize measurable ROI through automation. This is a high-impact, customer-facing role designed for technical implementers who thrive at the intersection of technology, consulting, and customer success. As part of the founding FDA cohort, you’ll be instrumental in defining the blueprint for how FloQast scales Transform adoption across our enterprise customer base. This role has a requirement of working in office 3 days per week, which may be subject to change based on team and business needs, as determined by the department leader. Please note that this requirement is subject to ongoing review and may be adjusted in the future. *Visa sponsorship is NOT available at this time What You'll Do: • Architect, deploy, and operationalize AI Agents that automate complex accounting processes to streamline accounting operations, strengthen internal controls, and accelerate financial processes., • Lead high-impact transformation engagements with enterprise accounting teams to diagnose operational bottlenecks, evaluate financial processes, and identify opportunities to automate accounting workflows with AI Agents., • Drive enterprise adoption and expansion by engaging directly with CFOs, Controllers, and other stakeholders in the accounting organization, and guiding these teams through workflow redesign, change management, and the value realization required to scale adoption of AI Agents across their organization., • Perform deep technical troubleshooting, including reviewing and editing Python scripts, writing SQL queries for integrations, and diagnosing configuration issues across systems., • Serve as both the functional and technical escalation point for complex issues involving integrations, data flows, and automation logic. This includes reviewing and optimizing SQL-based validations, API-driven workflows, and integration configurations., • Collaborate closely with Customer Success and Account Management teams to identify low-adoption or at-risk enterprise accounts. Design structured recovery plans, re-engage stakeholders, and deliver targeted adoption programs centered around successful AI Agent deployment and improved business outcomes., • Influence the product direction by delivering actionable insights to Product, participating in early feature evaluation, and collaborating on strategic initiatives that advance Transform’s roadmap and long-term growth., • Provide leadership, oversight, and quality assurance for implementation partners to ensure consistency, accuracy, and compliance with Transform’s methodology across complex enterprise projects., • Travel as needed (up to 60%) to customer sites for hands-on deployment, training, and adoption workshops., • Serve as a trusted advisor and ambassador of the Transform product line. This includes educating customers and internal team members on the strategic value of AI-enabled accounting transformation, best practices in AI Agent buliding, and best practices for sustainable operational improvement.What You'll Bring:, • 6+ years of experience in accounting, auditing, controllership, or consulting roles focused on accounting and finance functions, with a deep understanding of core accounting operations., • Background in accounting or finance required — CPA preferred, or equivalent experience in public accounting, audit, or accounting leadership within a corporate environment., • Proven ability to evaluate, design, and deploy workflow or process automation within accounting or finance environments (close, consolidation, or reporting)., • Strong technical foundation and working knowledge of SQL, APIs, and data flow concepts, • Ability to troubleshoot, debug, and optimize issues across integrations, data pipelines, and automation workflows, • Skilled in leading working sessions with Controllers, Accounting Managers, or RevOps teams, • Strong abilities to synthesize complex problems into actionable solutions for technical and non-technical audiences, • Highly collaborative with cross-functional teams, including Product, Engineering, Sales, and Customer Success, • Ability to travel to lead customer engagements, onsite configuration, and adoption workshops.Nice-to-haves:, • CPA or degree in Accounting or Finance, • Experience in Professional Services, Finance Transformation, or Process Optimization, ideally serving accounting or audit functions., • Experience with ERP systems (e.g., NetSuite, Intacct, Microsoft Dynamics) and accounting close processes, • Familiarity with AI or automation platforms: LLM-based agents, RPA tools (e.g., UiPath), or AI workflow builders, • Hands-on experience with basic scripting (e.g., Python or JavaScript), • Previous roles similar to Forward Deployed Engineer, Resident Consultant, or Embedded Solutions Architect, • Experience designing or maintaining SQL-based reporting, and configuring API integrations between finance or operational systems, • Strong business acumen with the ability to translate accounting/operational requirements into scalable technical workflows

A tech company is seeking a skilled Prompt Engineer for a remote position in the European Union.The ideal candidate will design, test, and optimize prompts to enhance AI model performance.Responsibilities include collaborating with data scientists, ensuring compliance with ethical standards, and doc

Qualifications Required: Bachelor's degree in accounting, JD or LLM 3+ years corporate tax experience with a Big 4 organization, law firm, or large corporate tax department of a multinational company One of the following accreditations obtained, in process, or willing able to obtain: Licensed CPA in

Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit . About This Opportunity We are looking for a Senior Sales Engineer - AI to join our team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey. This position is based in New York. What You Will Do • Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals., • Execute high-impact proof of value that moves beyond technical feasibility to demonstrate ROI, such as cost per token or measurable accuracy gains in production using H2O AI Enterprise Platform: Predictive, Generative, and Agentic AI, • Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)., • Showcase hands-on expertise with LLMs: fine-tuning, evaluations, RAG, and Agentic pipelines., • Design and build sophisticated Agentic Workflows, beyond simple RAG to multi-agent systems that can reason, use tools, and execute complex business logic autonomously., • Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem., • Architect integrated solutions that leverage the full H2O stack: using Driverless AI for predictive features, h2oGPTE for unstructured data synthesis, • Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure their applications are production-ready., • Work closely with Product Management to influence the product roadmap based on customer and field insights., • Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.What We Are Looking For, • 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms., • Hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms., • Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration., • Master the art of technical storytelling, the ability to whiteboard a complex Kubernetes deployment for an IT Director, then pivot to explaining the risk-mitigation benefits of 'Guardrails' to a Chief Risk Officer., • Excellent presentation and communication skills: confident in front of C-level executives and technical teams., • Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus., • Willingness to travel up to 50% to support strategic accounts.How to Stand Out, • Experience running POCs, pilots, and executive workshops that accelerate AI adoption., • Familiarity with enterprise security, compliance, and governance in AI deployments., • Demonstrated thought leadership (talks, blogs, open-source contributions)., • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. #LI-Hybrid Powered by JazzHR e0ReZA0xCQ

Job Description Head of Sales Engineering Location - US East Coast About Unframe Unframe is an AI-first startup helping the world's largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market. Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we're building a fast-growing, revenue-generating company working with Fortune 500 customers globally About the Role We are hiring a Field CTO / Head of Technical Evangelism to lead technical conversations in enterprise sales cycles and build a world-class evangelism function. This is a front-line, revenue-driving leadership role. You will serve as the technical authority in early-stage customer conversations, translate architecture into business value, and build a team of evangelists who can scale our message across regions and industries. You must be equally comfortable speaking with CIOs and whiteboarding architecture for engineering teams. What you'll do:Lead Technical Strategy in Enterprise Sales • Join intro and discovery calls with enterprise prospects, • Own architecture and technical validation discussions, • Translate Unframe's building block architecture into customer-specific solutions, • Address technical objections Evangelize Unframe Externally, • Represent Unframe at executive briefings, conferences, and industry events, • Deliver compelling technical presentations and live architecture sessions, • Build repeatable demo narratives tailored by vertical and persona, • Create thought leadership content (talks, workshops, articles)Build and Lead the Evangelism Function, • Hire, train, and manage a team of Technical Evangelists, • Develop standardized:, • Technical pitch frameworks, • Demo flows, • Objection-handling playbooks, • Verticalized narratives, • Create consistency and excellence across field technical engagementsPartner Cross-Functionally, • Collaborate closely with Sales on deal strategy, • Provide structured field feedback to Product, • Help refine positioning against consultancies, point tools, and orchestration stacksWhat Success Looks Like (12 Months), • A repeatable, differentiated technical narrative across the field, • Increased win rates in technically complex deals, • A high-performing evangelism team supporting multiple regions, • Strong executive trust with CIO/CTO-level buyers, • Clear positioning in competitive enterprise AI environmentsWho You Are, • Senior technical leader with deep enterprise AI experience and significant customer-facing exposure (Field CTO, VP Solutions Engineering, Principal Architect, Technical Founder, or equivalent)., • Deep knowledge of:, • LLM architectures, • AI orchestration frameworks, • Enterprise integrations, • Security and deployment models, • Experienced in enterprise sales cycles, • Strong team builder with experience hiring and leading technical talent, • Exceptional communicator who simplifies complexity without losing credibility, • Public speaking or published technical thought leadership, • Experience in data-intensive industries (financial services, real estate, enterprise services), • Real ownership from day one. Drive decisions, shape ideas and make them work., • Your fastest learning years. Build alongside founders in a space that moves weekly., • You'll have the opportunity to write and build what comes next.

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 We're hiring our first Technical Recruiter to help build a world-class engineering and technical team. You'll own the very top of our hiring funnel—finding and engaging a primarily passive pipeline of engineering talent. Reporting directly to our Talent Lead, you'll be the engine behind our pipeline. This role is high-volume by design: you'll run large outreach campaigns across multiple roles simultaneously and continuously optimize for response rates and quality. What You'll Do High-Volume Pipeline Building: Proactively identify and engage large volumes of passive technical talent. You'll source Software Engineers and AI/ML specialists using modern recruiting tools (Juicebox, LinkedIn Recruiter, etc.) and creative search strategies. Outbound Outreach at Scale: Build, run, and iterate on high-volume, personalized outreach sequences that reflect Arlo's mission and voice. You're comfortable sending hundreds of touchpoints per week without sacrificing quality. Top-of-Funnel Management: Own candidate tracking from first touch through handoff to the recruiter, maintaining clean, up-to-date records in Ashby (our ATS). Market Research: Map the talent landscape for priority technical roles, identifying target companies, communities, and talent pools. Collaboration: Partner closely with the Talent Lead and hiring managers to understand role requirements and continuously refine your sourcing strategy based on feedback. Metrics & Iteration: Track outreach performance (response rates, conversion rates) and regularly optimize your approach—you treat sourcing like a growth channel and are constantly testing and improving. What We're Looking For * 0–4 years of sourcing or recruiting experience, with a focus on technical roles (engineering, product, data) * Proven experience running high-volume outreach * Familiarity with tools like LinkedIn Recruiter, Juicebox, Ashby, and Notion * A knack for writing outreach that feels human and resonates with candidates * Highly organized and detail-oriented, with strong pipeline hygiene and follow-up practices * Comfortable working in a fast-paced, early-stage startup environment where priorities shift quickly * Bachelor's degree required Bonus Points * Experience sourcing for health tech, fintech, or AI-focused companies * Experience in an agency setting * Experience with Clay or similar data enrichment/automation tools for sourcing workflows * Enthusiasm for experimenting with LLM tools (ChatGPT, Claude, Perplexity, etc.) to improve and accelerate your work Expected Compensation $65,000–$105,000, depending on experience 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.

Position: Product Operations Specialist (Technical + LLM) Type: Contract Compensation: $60–$80/hour Location: Remote Role Responsibilities Support program execution strategy for multiple products and platforms. Kickstart 0 to 1 efforts, accelerate execution, and improve quality/outcomes via progra

Position: Product Operations Specialist (Technical + LLM) Type: Contract Compensation: $60–$80/hour Location: Remote Role Responsibilities Support program execution strategy for multiple products and platforms. Experience with testing, developing, and implementing test strategies for products and

Position: Product Operations Specialist (Technical + LLM) Type: Contract Compensation: $60–$80/hour Location: Remote Role Responsibilities Support program execution strategy for multiple products and platforms. Write and optimize SQL queries to collect, transform, and analyze product data. Qualifi

What You'll Do Design, build, and deploy end-to-end AI-powered products using modern LLMs and orchestration frameworks Own and ship 01 features such as: Conversational AI assistants Intelligent search and retrieval systems Personalized recommendations Develop production-grade RAG pipelines, agent-ba

What Youll Do Design and deploy production-grade RAG (Retrieval-Augmented Generation) pipelines Build and optimize vector retrieval systems Implement agentic LLM workflows and orchestration layers Develop full-stack product experiences powered by LLMs Design clean, scalable APIs and asynchronous pro

Founding AI Engineer (Fintech/LLM) Location: New York City, NY (Hybrid, 4 days onsite) Role Overview Founding AI Engineer role owning the end-to-end design, development, and scaling of LLM-powered product features within a high-growth fintech platform. Responsibilities Own and ship AI features end-t

Job DescriptionAbout the Role Bask is looking for a curious, business-minded attorney to join our team and help navigate the evolving landscape of DTC telehealth and B2B healthtech software. You will support the General Counsel by handling general legal work and company-wide compliance matters, including the development of legal and risk management strategies. This is a highly cross-functional role where you’ll work closely with leadership across product, operations, human resources and compliance to support and scale a fast-growing platform. This position requires a strong blend of legal and business acumen to balance competing priorities. You’ll be deeply embedded in the business — advising on real-time decisions, translating complex regulations into practical guidance, and helping ensure we build quickly and responsibly. If you enjoy solving complex problems, thinking beyond the textbook, and working alongside operators, this role is for you. At Bask Health, every role is AI-first. Work starts in an LLM to clarify intent and context, moves into the right tools to explore and execute, is tested with real users and stakeholders, and is continuously refined as we learn. AI and self-serve research are default parts of how we work, not side experiments. We are looking for people who take full ownership of their work, treat AI as a real collaborator, and care deeply about building a company that meaningfully improves how healthcare is delivered. What You’ll Do Corporate, Commercial & Operational Support • Provide legal counsel on corporate and commercial transactions, business development, employment matters, and intellectual property., • Draft, review, and negotiate vendor, partner, and service agreements, including complex enterprise SaaS contracts., • Support product and engineering teams in building compliant, scalable solutions., • Maintain and update customer agreements, terms of use, privacy policies, and related documentation., • Advise on healthcare, data security, HIPAA, state privacy, FDA, FTC, DEA, fintech and AI-related regulations impacting Bask’s software platform., • Design/improve risk-based compliance programs and initiatives to enable thoughtful, compliant growth., • Partner with compliance and operations on risk assessments, audits, and workflows., • Review user-facing content, product flows, and marketing materials., • Identify repeatable legal work and convert it into structured decision workflows, templates and playbooks., • Transform legal work from reactive to proactive by creating systems for addressing foreseeable legal obstacles and their solutions, including alternatives., • Continuously evaluate how legal support can scale with business growth. AI • Work AI-first: Use LLMs as your starting point — to clarify thinking, draft output, research problems, and move faster. Apply your own judgment to refine quality and make it count., • Validate and iterate: Test your work with real users and stakeholders. Use what you learn to improve before problems become patterns., • JD with active bar membership., • 2–6+ years of experience in healthcare, fintech, or a regulatory environment, preferably including both law firm and in-house legal department roles., • Strong working knowledge of conducting legal research and monitoring legislative activity., • Has an entrepreneurial mindset with strong respect for all areas of risk management., • Is naturally curious and wants to understand how products actually work., • Thrives in a fast-paced, startup environment., • Is action-oriented with an ability to navigate ambiguity and take initiative., • Prioritizes well, takes ownership, and follows through., • Translates legal requirements into clear, actionable guidance for internal teams., • Collaborates cross-functionally by encouraging and building consensus., • Benefits (for U.S.-based full-time employees), • 50% medical, dental & vision insurance coverage for you, • 401k, • Unlimited PTO, • Unlimited AI token usage, • Health and Wellness stipend, • In-office perks: lunch, snacks, drinks, and more, • Budget for intra-office travel

Job Description The Opportunity Our client is a fast-growing, seed-stage AI healthcare startup that is fundamentally rebuilding how healthcare communicates. Having just raised a $10M seed round from top-tier investors (Accel, Y Combinator, Sequoia) and signed seven major deals in a single week, they are looking for a high-octane Implementation Manager to join their 11-person team as a foundational hire. In this role, you won't just follow a checklist—you will build the playbook. You’ll lead end-to-end customer deployments for Fortune 500 healthcare organizations, ensuring that AI voice agents are seamlessly integrated to handle scheduling, billing, and patient workflows. What You’ll Do * Lead the Charge: Manage a panel of 3–5 customer implementations from initial kickoff through successful go-live. * Stakeholder Mastery: Navigate complex relationships within large healthcare organizations, serving as the primary non-technical point of contact for multiple decision-makers. * Build the Foundation: Create and refine the implementation playbook from scratch, defining how the company scales its delivery process. * Dynamic Duo: Work in a "dyad" with a Forward-Deployed Engineer. You own the project management, timelines, and stakeholder outcomes, while they handle the technical execution. Who You Are * Experienced: 2–5 years in complex software implementations, customer onboarding, or high-level project management (Consulting, Chief of Staff, or Startup Deployment roles are highly preferred). * High-Agency: You are a "doer" who thrives in ambiguity. You don't wait for a manual; you write it. * Semi-Technical: You understand the "how" behind the "what." You know your way around APIs, understand LLM basics, and can speak intelligently about technical products. * Detail-Obsessed: You have a proven track record of managing multi-workstream plans and holding stakeholders to deadlines. * NYC Bound: You are either in New York or ready to relocate to be with the team 5 days a week in their NYC office. Why Join? * Top-Tier Pedigree: Work alongside a CEO (Stanford/Harvard-trained physician) and CTO (ex-Amazon Alexa AI lead). * Massive Traction: 10x revenue growth in the last year. * Full Benefits: 100% covered healthcare, flexible time off, commuter benefits, and meaningful early-stage equity.

Job DescriptionABOUT US At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's retail brands including American Eagle and Gap. We're building the future of in-store experience where every product and every person can be precisely located in real time. Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world's largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences. We're a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond! OUR VALUES Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters. Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together. High Impact: You'll make meaningful contributions from day one and help shape the future of our product and company. Clear Communication: We value honesty, humility, and respectful dialogue—everyone's voice matters. Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work. Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints. Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs. ABOUT THE JOB We are seeking a talented and experienced Program Manager to partner closely with our SVP of Corporate Operations, CEO and Leadership Team to help ensure RADAR's strategic initiatives are successfully operationalized and delivered. This role will bring discipline, clarity, and structure to our Leadership Team and business operations. Responsibilities: • Collaborate with the Leadership Team and CEO to define, plan, and align on annual strategic initiatives and priorities., • Establish and maintain a structured meeting cadence (Leadership Team meetings, monthly business reviews, project status updates) to monitor progress against strategic goals and KPIs., • Translate company strategy into project plans, deliverables, responsibilities, and, in partnership with the Finance Team resource allocation plans., • Introduce and standardize project/program management processes, tools, templates, and governance frameworks to ensure consistency and drive accountability across teams., • Serve as a central cross-functional coordinator working across engineering, product, operations, sales, and other business functions to drive alignment and execution., • Coach business leaders and designated project owners on best-practices in project planning, tracking, risk management, and reporting., • Maintain visibility into program level risks, interdependencies, resource constraints - proactively flagging issues and recommending mitigation or course correction., • Promote continuous improvement by refining processes, tools, and workflows to increase efficiency, predictability, and cross-team collaboration.ABOUT YOURequired:, • 7+ years of program management experience in technology and/or high-growth startup environments, with proven success leading cross-functional programs in complex, integrated hardware–software businesses, • You have demonstrated success managing multiple, interrelated projects or strategic initiatives — driving them from planning through execution to completion with measurable outcomes., • You have strong strategic thinking, organizational, and problem-solving skills with the ability to see the "big picture" while managing details and execution., • You have excellent stakeholder management and communication skills and are able to engage with senior leadership, business leads, and cross-functional teams., • You have familiarity with program/project management tools and methodologies, • You bring strong business acumen, exceptional interpersonal skills, and high emotional intelligence—able to align diverse stakeholders, communicate clearly, and make sound, high-velocity tradeoff decisions in a resource-constrained startup environment, • You are comfortable working in a fast-paced, dynamic, evolving start-up growth environment and able to lead change across functions.Preferred:, • You have prior experience in retail technology., • You have a certification in project or program management (e.g., PMP, PgMP or equivalent)., • You have experience coaching or training non-PM business leaders to adopt project management best practices Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness. Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.

Job DescriptionAbout Unframe Unframe helps the world's largest enterprises bring LLM-powered applications to life in days, not months. Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we're redefining how companies deploy AI in production. We're a hands-on, product-minded team, building AI products that actually get used. About the Role As an Enterprise Engagement Manager, you'll lead the delivery, adoption, and success of Unframe's AI solutions across our largest enterprise customers. You'll join our Product Growth team to turn tailored AI concepts into working solutions that deliver measurable business impact. This is not a traditional "Customer Success" role. It's a hybrid of program management, product enablement, and customer partnership. You'll coordinate complex multi-stakeholder projects, ensure smooth rollout and adoption, and help customers expand the impact of Unframe's platform across their organization. What You'll Do • Own delivery and adoption of Unframe's AI solutions across enterprise accounts, from post-POC rollout through expansion., • Partner with Product Managers to translate customer needs into actionable project plans and ensure execution at scale., • Orchestrate stakeholders. Manage alignment across business, IT, and data teams within large organizations., • Define and measure success: track adoption, usage, and business impact to demonstrate value., • Lead enablement and training sessions that help customers operationalize Unframe's AI solutions., • Ensure project velocity. Coordinate between internal teams (Product, Engineering, Solutions) to keep deployments on time and on scope., • Identify expansion opportunities by surfacing new use cases and operational gaps that AI can solve., • Provide structured feedback from the field to shape Unframe's product roadmap and delivery playbooks.What We're Looking For, • 3+ years in enterprise-facing roles such as Program Manager, Engagement Manager, Enterprise CSM, Implementation Lead, or Technical Account Manager., • Proven experience managing complex, multi-stakeholder enterprise projects, ideally involving AI, data, or SaaS platforms with digital transformation elements., • Strong execution and project management skills. Able to plan, coordinate, and deliver under tight timelines., • Business-technical fluency. You can translate between executives, engineers, and users with ease., • Excellent communication and relationship-building skills in English (Hebrew a plus)., • High ownership, attention to detail, and a hands-on, problem-solving mindset.Nice to Have, • Experience with AI, automation, or data-driven enterprise transformations., • PMO certification or structured project management background, • Background working with LLM or GenAI products., • Technical fluency - able to understand API integrations or data workflows., • Previous experience in consulting

Job DescriptionABOUT US At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's retail brands including American Eagle and Gap. We're building the future of in-store experience where every product and every person can be precisely located in real time. Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world's largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences. We're a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond! OUR VALUES Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters. Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together. High Impact: You'll make meaningful contributions from day one and help shape the future of our product and company. Clear Communication: We value honesty, humility, and respectful dialogue—everyone's voice matters. Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work. Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints. Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs. ABOUT THE JOB The Sr. Associate, Pilot & Special Projects Program Management owns the operational lifecycle of RADAR's special project deployment program, serving as the connective tissue between people, processes, and the platforms that power them. This role goes beyond coordination. It actively improves and scales the systems that make pilot and special project deployments execution faster, more predictable, and rollout-ready, ensuring every pilot is planned, prepared, executed, and closed out with discipline, clarity, and consistency. Sitting within Pilot & Special Projects Operations, this role partners closely with Customer Experience, Deployment Operations, Technical Support, Store Planning & Design, Engineering, Supply Chain / Logistics, and external installation partners to ensure processes and systems reflect how work actually gets done, and enable teams to execute efficiently at scale. This role is accountable for pilot readiness, cross-functional coordination, vendor execution enablement, and operating cadence - translating pilot activity into repeatable routines and rollout-ready standards. Responsibilities: Program Ownership (Operational) • Own the end-to-end operational lifecycle of special project deployments: intake → readiness → execution → closeout, with a focus on building workflows and systems that reduce manual effort and increase consistency., • Define milestones, dependencies, readiness criteria, and ownership aligned to project objectives and success metrics., • Ensure pilots do not proceed without required readiness gates met; surface risks early with clear options, data, and recommendations., • Own the configuration and continuous improvement of tools such as Jira, Confluence, Smartsheet, and Google Sheets to reflect current workflows and reduce friction., • Identify gaps between how teams work and what their tools support, and drive resolution through tooling changes, automation, or process redesign., • Drive a structured operating cadence - including readiness reviews, weekly project syncs, execution checkpoints, and closeout reviews - with supporting dashboards, trackers, and automated workflows to keep routines low-lift and high-signal., • Coordinate across Field Deployment Ops, Deployment Tech Support, Store Planning & Design, Engineering, Supply Chain, and CX., • Track action items, remove blockers, and escalate with clarity and documentation maintained in the right systems., • Build and maintain repeatable operating routines that reduce friction and variability across all special project deployments., • Develop and continuously improve standardized artifacts, designed to live in and be maintained through your core toolset, including:, • Pilot readiness checklist and gating framework, • Pilot execution tracker and ownership model, • Internal and external communication templates, • Pilot closeout and retrospective format, • Own the pilot closeout process end-to-end, ensuring deliverables, validation, and documentation are captured in structured, reusable formats., • Lead pilot retrospectives and translate lessons learned into updated standards, playbooks, and scale-readiness inputs., • Partner with Systems and Data analysts to build and maintain leadership-ready pilot reporting infrastructure: live dashboards, status trackers, risk registers, readiness scorecards, and completion metrics., • Provide clear, timely updates that enable informed decision-making and proactive risk management., • Ensure pilot progress and outcomes are visible, measurable, and actionable.ABOUT YOURequired:, • 3+ years of experience in program management, implementation operations, or technical operations - with demonstrated ownership of the tools and systems that support that work., • Proven ability to coordinate complex, cross-functional work and drive execution through structure, follow-through, and well-configured platforms., • Strong operational planning skills: readiness gating, dependency management, timeline discipline, and escalation clarity., • Experience working with external vendors and managing deliverables in time-bound deployment environments., • Hands-on experience with project and documentation platforms — you don't just use these tools, you improve them., • Strong written and verbal communication skills; able to produce clear, executive-ready updates., • Comfortable building structure in ambiguous, fast-moving environments where processes are still maturing., • Familiarity with Jira, Confluence, Smartsheet, Google Sheets, Miro, or Lucidchart (or similar program management tools)Preferred:, • Experience with retail store deployments, pilots, multi-site rollouts, or distributed hardware programs., • Experience building playbooks, SOPs, templates, and scalable operating routines., • Exposure to hardware + SaaS environments (IoT, RFID, edge compute, distributed systems)., • Experience translating pilots into scaled rollout programs (playbooks, standards, vendor models), • Experience working in high-growth or early-stage environments where systems and processes are still being built.WHAT YOU'LL DOIn your first 30 days, you will:, • Learn RADAR's pilot deployment workflows, stakeholders, tools, and readiness dependencies., • Audit the current operational toolset - what's being used, what's inconsistent, and where the biggest friction points are., • Review recent pilot deployments to understand execution gaps and recurring blockers., • Establish a standard pilot tracker and operating cadence for active and upcoming pilots.In your first 60 days, you will:, • Take full ownership of pilot readiness reviews, operating rhythms, and execution coordination., • Implement standardized pilot readiness gates and documentation across all stakeholders., • Strengthen vendor coordination and clarify special project execution expectations., • Launch a consistent pilot closeout and retrospective process.In your first 90 days, you will:, • Deliver measurable improvements across pilot readiness, execution predictability, and reporting quality — with visible progress in dashboard adoption, fewer missed readiness gates, and cleaner leadership updates., • Publish a pilot program playbook and a special projects operating framework (covering closings, refurbishments, retrofits, and similar programs), each with standardized templates, checklists, vendor protocols, and closeout documentation that teams can pick up and run with. Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness. Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.

Job DescriptionABOUT US At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's retail brands including American Eagle and Gap. We're building the future of in-store experience where every product and every person can be precisely located in real time. Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world's largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences. We're a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond! OUR VALUES Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters. Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together. High Impact: You'll make meaningful contributions from day one and help shape the future of our product and company. Clear Communication: We value honesty, humility, and respectful dialogue—everyone's voice matters. Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work. Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints. Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs. ABOUT THE JOB The Senior Specialist, Program Management (Deployment Operations) owns the planning and execution backbone of RADAR's fleet deployment program - from scheduling and resource allocation through financial oversight and cross-functional coordination. This role requires a systems-oriented and process-obsessed mindset to deliver structure, repeatability, and discipline to a deployment program spanning hundreds of sites and multiple stakeholder teams. It isn't just about tracking what is happening - it's about building the frameworks and routines that make execution more predictable and cross-functional handoffs cleaner. Sitting within Deployment Operations, this role works closely with the Deployment Operations Lead, Deployment Support Manager, the Pilots and Special Projects team, Customer Experience, Store Planning, and external installation partners to ensure work is sequenced intelligently, resources are allocated efficiently, and overall program spend is managed proactively. Responsibilities: Fleet Rollout Scheduling and Coordination • Own the deployment schedule across multiple customer rollout programs, ensuring work is sequenced to meet customer commitments, sales demand, and operational capacity., • Maintain clear visibility into pipeline, backlog, and in-flight deployments - with supporting trackers and dashboards that give leadership real-time status without manual status chasing., • Balance field resource allocation across customers and programs to maximize throughput and minimize scheduling conflicts., • Serve as the primary coordination point between Deployment Operations and the Pilots and Special Projects team, ensuring pilot learnings, site requirements, and scope changes flow cleanly into fleet execution planning., • Partner with Store Planning and Design, Hardware Supply Chain, and Customer Experience to align on deployment timelines, site readiness, and logistics dependencies., • Work closely with the Deployment Operations Lead to assign internal resources to active projects and customers based on skill set, availability, and priority., • Maintain a clear picture of team capacity and flag coverage gaps or overallocation before they become execution problems., • Drive continuous improvement of scheduling and issue tracking., • Partner with Systems Analysts to develop reporting tools that reflect how work actually gets done., • Build and maintain standardized templates, SOPs, and operating routines that reduce variability and manual effort across the deployment program.ABOUT YOURequired:, • 3+ years of experience in program management, operations coordination, or deployment operations - with hands-on ownership of the tools and workflows that support execution., • Strong organizational and scheduling skills; comfortable managing multiple workstreams across different customers and timelines simultaneously., • Experience managing vendor deliverables and holding partners accountable in fast-paced, time-bound environments., • Financial fluency: comfortable with budget tracking, program-level spend reporting, and cost trend analysis., • Proven ability to drive cross-functional coordination across teams with different priorities and working styles., • Strong written communication; able to produce clear status updates and escalations that don't require interpretation.Preferred:, • Experience in retail store deployments, multi-site rollouts, or distributed hardware programs., • Familiarity with RFID, IoT, or hardware-plus-SaaS deployment environments., • Experience building SOPs, trackers, and operating playbooks from scratch., • Lean Six Sigma Green Belt, PMP, or equivalent experience in structured process improvement and program execution., • Comfort working in environments where processes are still being developed and refinedWHAT YOU'LL DOIn your first 30 days, you will:, • Learn RADAR's deployment workflows, customer programs, scheduling rhythms, and vendor relationships., • Audit the current scheduling and financial tracking tools to understand what exists, what's inconsistent, and where the biggest friction points are., • Shadow the Deployment Operations Lead and internal associates to understand how work is allocated today and where handoffs break down., • Get up to speed on active rollout programs, backlog status, and in-flight change orders.In your first 60 days, you will:, • Take ownership of the master deployment schedule and drive the weekly scheduling cadence with minimal oversight., • Establish a consistent operating rhythm with the Pilots and Special Projects team., • Begin formalizing resource allocation inputs and team capacity tracking in a structured format.In your first 90 days, you will:, • Deliver measurable improvements in scheduling predictability, financial tracking accuracy, and cross-functional coordination quality., • Publish a deployment operations playbook covering scheduling, resource allocation, vendor coordination, and financial oversight - with templates and SOPs that the team can pick up and run with. Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness. Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.

Job DescriptionMotion Designer Are you passionate about AI and eager to work on groundbreaking projects? Do you want to be a major part of a rock-star team in a rapidly growing startup, collaborate with industry leaders, and make a real impact in the legal landscape? Do you want ownership in a startup building something people want with real paying users and significant traction? Here's your chance! 🏗️ About the role 24 months since we launched, we’re already adding 7 figures of ARR per month. We’ve built a rockstar team of engineers, AI researchers, and patent attorneys. We’re now looking for a super-talented, high-energy, and ambitious Motion Graphics Designer to play a key role in our company’s growth and product launches. You will lead our social media motion graphics promotions. You will lead our social media and conference motion graphics promotions, while working closely with our design, GTM, and product teams. In this role, you will: * Develop a user-centric motion design system that scales to all products within our platform. * Work closely with our design, GTM, and product teams to bring scripts to life. * Partner with our design team to animate assets that can be embedded into the product experience. * QA work to ensure designs and creative assets are polished, on brand, and ready for release. * Help us execute efficiently to ship products that deliver value and impact for our customers. 👋 Who you’ll work with Sanj (Chief Research Officer and co-founder): Sanj did his MSci in Physics at the University of Cambridge and his PhD in AI at the Gatsby Unit, UCL. He won awards at top AI conferences, worked on the R&D team at Huawei, and received widespread attention for his contributions to open-source LLM GitHub projects. He joined Magic Carpet AI as employee #4, where he developed AI strategies for trading which deployed millions of capital before being acquired by Blockchain.com. Chris (Chief Executive Officer and co-founder): Chris did his undergrad at Imperial College, masters at the University of Cambridge, and PhD at UCL, during which he published 10+ publications and won awards in top AI conferences and journals. He has worked in leading tech organisations, including Dyson, The Alan Turing Institute, and InstaDeep before its acquisition by BioNTech. Angus (Chief Technology Officer and co-founder): Angus did an MEng in Computer Science at the University of Bristol where he won a cyber security scholarship at GCHQ before working at Qualcomm. He then joined a London-based hedge fund, Coremont (Brevan Howard). There, he led a small team to build a greenfield trade processing platform which scaled to millions of trades per day. You’ll also work with the rest of our super talented team of AI researchers, software engineers, patent attorneys, and go-to-market experts. 🚀 Who you are We are a young company of highly motivated, ambitious, and hard-working individuals building a billion-dollar business. Our fundamental motivation is to build a state-of-the-art AI product to assist humans in generating intellectual property and to have mass market adoption of our software. To thrive in this environment, you’ll have the following characteristics: You’re motivated to move fast - you prioritise speed, are always itching to move faster, and want to close deals on the order of days, not weeks or months. You’re passionate about mass adoption of AI - we’re at the beginning of an exponential curve, and we want to take the latest AI technology and build it into a useful product as quickly as possible. You’re a driven individual with a strong work ethic - our team is committed to going the extra mile, even if it means working long nights and weekends to achieve our goals. You strive for excellence in every aspect of your work - you take ownership of your outcomes and overdeliver on your goals. You’re humble, eager to learn whatever it takes to help your team and customers succeed, and an optimist who thrives in a positive environment. 🛠️ What you bring As our first Motion Designer, you will have extensive experience with motion graphics. Must haves: * 3+ years of experience with Motion Graphics. You must be able to create videos of the quality that, e.g. ElevenLabs regularly release (see e.g. their Series C announcement video: ). Your ability to create such videos should be evidenced by your previous work/portfolio. * Ability to turn very technical products and features into highly engaging, intuitive, and professional motion graphics and animations. * Ability to deal in an often ambiguous environment. * Self-directed, solution-oriented, and ability to work autonomously. * Strong written and verbal communication skills. * Ability to use motion to narrate user experience based on users' behaviors, needs, and emotions. * Exceptional process thinker and problem solver. * Demonstrates a strong foundation in basic animation principles, often related to physics and patterns. * Master in After Effects and Figma. * Low ego, collaborative, positive attitude, and open-minded. * Creative thinking toward establishing and executing on the vision for team initiatives. Preferred haves: * Experience working on branding, growth, social media, and promotional videos. * Experience with other animation apps such as Rive and Lottie. Nice to have: * Entrepreneurial experience (side projects/hustles, early stage startups, interesting or unusual hobbies). * Experience using AI products. * 🎁 What we offer * Competitive total comp (base + commission). Upside on commission is unlimited. * Equity; we want you to take ownership in Solve Intelligence and share in the success that lies ahead. * Full visa sponsorship. * Opportunity to work with a super smart and ambitious group of people building something people want. * Private medical insurance. * Free meals. Compensation Range: $90K - $150K

If you would consider it would be fun to create a hybrid Vector/Graph index that beats the state of the art on a RAG benchmark, to deliver a working AI pipeline to a client in a critical industry, or to pre-process datasets in a way which would boost LLM accuracy in inference & training - this is th

A leading AI insights firm is seeking a skilled engineer to own the LLM infrastructure for transformative B2B research products.

What you will doPrompt engineering and testing with LLMsContext engineering to determine the right dataAgentic workflow designHelp us build systems to easily monitor and test LLM performanceContribute to production code (Clojure + Python)Analyze large data setsBuild dashboardsContribute as a thought

A top healthcare consultancy is seeking an AI/Data Architect to join their Enterprise Architecture group.This remote position requires expertise in data architecture, data governance, and AI applications.The ideal candidate will have strong skills in relational and NoSQL databases, data migration, a

A cybersecurity ratings leader in New York City is seeking a Senior AI Engineer to develop AI-powered product features.This hands-on role involves designing workflows, integrating AI, and leading code reviews.Ideal candidates will have 5+ years of software engineering experience, strong proficiency

Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations. Practical experience with Large Language Models (LLMs): API integration, prompt eng

Applied Researcher II (AI Foundations, LLM Core and Agentic AI). LLMs, SSL techniques, model pre-training optimization). PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning).

Ideal candidates have over 5 years of experience in software development, especially with Python, and knowledge of LLM capabilities.

Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning). LLMs, SSL techniques, model pre-training optimization). PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning).