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Location: Lansing, Michigan Workplace: OnSite Behavior Technician (BT/RBT) - Paid BCBA and BCaBA Fieldwork Program Company: SenseSational Learning Group Job Type: Full-Time | Weekdays (at least three evenings 4pm - 7pm) Location: In-Person - Lansing, MI Pay: Direct work: $20 - $23 per hour| Indirect work: $15 - $20 per hour Build your clinical skills while earning paid fieldwork experience. SenseSational Learning Group is hiring full-time Behavior Technicians and Registered Behavior Technicians who are working toward BCBA or BCaBA certification. Through our Wayfinder Program, team members receive free BCBA supervision, paid opportunities to complete unrestricted clinical activities, and a structured path toward greater responsibility and higher pay. We are a small, BCBA-owned practice providing play-based, naturalistic, assent-based ABA services in homes, schools, and community settings throughout the Greater Lansing area. We follow each child’s lead, respect assent and assent withdrawal, and build skills that are meaningful to children and their families. THE WAYFINDER PROGRAM Wayfinder is a competency-based fieldwork pathway designed for future BCBAs and BCaBAs. As you demonstrate clinical skill, reliability, initiative, and responsiveness to feedback, you can advance through three stages: Explorer: Build strong direct-care skills, learn our assent-based model, and participate in meaningful supervision. Pathfinder: Take on more unrestricted work through assessments, program development, caregiver coaching, projects, and peer mentorship. Navigator: Develop advanced clinical judgment by contributing to intakes, treatment planning, reauthorization preparation, caregiver coaching, and team training under BCBA oversight. Advancement is based on documented competencies and available program capacity. Direct and indirect hour allocations vary by stage. Detailed program expectations, evaluation criteria, and fieldwork planning are reviewed during the interview process and provided in the complete Wayfinder Practicum Guide. WHAT YOU WILL DO • Provide one-to-one ABA services using play-based and naturalistic teaching strategies. • Build positive, respectful relationships with children and families. • Collect accurate data and communicate openly about client progress. • Participate in individual and group supervision with BCBAs. • Complete paid indirect clinical activities appropriate to your Wayfinder stage. • Contribute to developing programs such as social groups, caregiver coaching, and professional training. WHAT WE ARE LOOKING FOR • Completed 40-hour RBT training or willingness to complete it before starting. • Previous experience working with children. • Availability for 35 scheduled hours per week, including at least three evenings from 4:00 to 7:00 PM. • Reliable transportation and a valid driver’s license for travel between homes and community locations. • Ability to be physically active with children, including sitting on the floor, playing outdoors, and lifting up to 50 pounds. • Strong organization, initiative, curiosity, and willingness to seek and apply feedback. For the BCBA fieldwork track: Enrollment in or completion of a master’s-level ABA program, or a completed master’s degree with an eligible behavior-analytic course sequence. For the BCaBA fieldwork track: Enrollment in a bachelor’s program and enrollment in or completion of an eligible behavior-analytic course sequence. COMPENSATION AND SUPPORT • Explorer – BT: $20/hour direct | $15/hour indirect | Typical mix: 28 direct and 7 indirect hours per week • Explorer – RBT: $22/hour direct | $16/hour indirect | Typical mix: 28 direct and 7 indirect hours per week • Pathfinder: $23/hour direct | $18/hour indirect | Typical mix: 23 direct and 12 indirect hours per week • Navigator: $23/hour direct | $20/hour indirect | Typical mix: 18 direct and 17 indirect hours per week Additional support includes: free BCBA supervision; paid drive time and training; mileage reimbursement; covered RBT exam and application fees; a $1,500 BCBA certification bonus or $750 BCaBA certification bonus; and priority consideration for clinician openings after certification. WHY JOIN SENSESATIONAL LEARNING GROUP • Every approved direct and indirect hour is paid. • Supervision focuses on your development, not simply documentation. • You receive intentional opportunities to build unrestricted clinical experience. • Your RBT credential and Wayfinder advancement come with defined pay increases. • We schedule around eligible ABA coursework whenever operationally possible. • You will join a small team where your ideas and contributions are valued. HOW TO APPLY Submit your resume and a brief note explaining why play-based, child-led, assent-based ABA is the kind of work you want to practice. Applications are reviewed on a rolling basis. SenseSational Learning Group is committed to building a diverse, neurodiversity-affirming team. We welcome applicants from all backgrounds and provide reasonable accommodations throughout the hiring process. #PlayBasedABA #NeurodiversityAffirming #RBTJobs #ChildDevelopment #MichiganJobs #BCBATrack #FinniHealth2026

Location: United States Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks. In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company. We are looking for a Dev Manager to lead the engineering team responsible for integrations between our product and external systems, including the Integrations Store. You will combine engineering leadership with hands-on technical expertise to deliver secure, reliable integrations that fit our customers' workflows. What you'll do: Lead and develop a team of engineers, providing technical direction, mentoring, and regular feedback. Own delivery outcomes within the agreed scope, provide practical estimates, and make capacity and priority tradeoffs visible. Delegate ownership to engineers and, as the team grows, team leads; distinguish near-term delivery from long-term capability development. Keep the role to no more than three clearly defined focus areas, with team leads taking ownership as capacity grows. Work with Product Management to define priorities, plan delivery, and translate customer needs into integration capabilities. Oversee the design, development, and maintenance of integrations, including: - Connectors to third-party applications and services. - An Integrations Store for discovering and managing available integrations. - Data mapping, validation, and synchronization between systems. - Authentication, authorization, and secure credential handling. - Monitoring, troubleshooting, and recovery from integration failures. Guide technical decisions within the assigned domain from solution design through development and production rollout, coordinating cross-cutting architecture and security decisions with their designated owners. Establish reusable integration patterns that handle retries, rate limits, duplicate events, and API version changes reliably. Own automated pipelines for building, testing, validating, and deploying integrations. Improve integration reliability, performance, and observability, and guide the team in resolving production issues. Coordinate with other engineering teams and external partners to manage dependencies and compatibility. Apply AI technologies where they improve integration development, testing, or support, with appropriate validation of outputs. Requirements What we're looking for: Experience leading software engineers and owning the delivery and operation of production systems. Strong software engineering fundamentals and the ability to contribute to technical problem-solving. Excellent knowledge of Node.js, JavaScript, and TypeScript. Experience building and operating AWS services in production. Hands-on experience designing and maintaining APIs and integrations with external systems. Understanding of distributed systems, asynchronous processing, data consistency, and failure recovery. Proficiency in SQL and experience with data modeling, aggregation, and query performance. Experience with secure authentication and authorization for integrations. Strong communication skills and the ability to align engineering work with product priorities. Professional working proficiency in English for leading an English-speaking team and collaborating across functions. Nice to have: Experience writing automated integration and contract tests. Proficiency in SQL. Experience with runtime isolation and sandboxing for sensitive execution. Experience in B2B SaaS, security, compliance, or data governance. Experience building high-load products with numerous endpoints. Experience maintaining integrations across multiple third-party API versions. Benefits Fully remote work with flexibility to support your work-life balance. A collaborative environment that empowers you to own your domain and implement best practices. Stable income, benefits, flexible working hours, and opportunities for career advancement. Friendly, professional colleagues who are eager to support you and help you grow. Engaging challenges and opportunities to make a meaningful impact.

Location: Dhahran, Saudi Arabia Eram Talent is hiring for their reputed client in Dhahran, Saudi Arabia, a Business Systems & Reporting Analyst. The Business Systems & Reporting Analyst will be responsible for processing, analyzing, and interpreting large-scale data records to support data-driven decision-making processes. Sitting at the intersection of Management Information Systems (MIS) and business operations—preferably within the Learning & Development (L&D) domain—the successful candidate will synthesize complex information into actionable insights, executive presentations, and structured reports. Responsibilities Data Processing & Analysis: Extract, clean, compile, and analyze large datasets utilizing MS Excel, PDF Professional, and corporate reporting tools. Insights & Decision Support: Interpret complex data records, identify operational trends, draw meaningful conclusions, and present data-backed recommendations to management. Reporting & Documentation: Design, build, and maintain scheduled and ad-hoc reporting dashboards and presentations using MS PowerPoint and MS Excel. Domain Alignment: Partner closely with business units (specifically Learning & Development / HR) to evaluate program performance, training metrics, and operational deliverables. Process Improvement: Evaluate existing reporting workflows and systems to identify gaps, streamline data collection, and enhance reporting accuracy. Cross-Functional Teamwork: Collaborate effectively with internal teams and stakeholders to communicate analytical findings clearly and support ongoing business projects. Requirements Education: Bachelor’s Degree in Management Information Systems (MIS) or a closely related field from a reputable university Work Experience: Minimum 3+ years of hands-on experience in data analysis, data processing, and business reporting. Prior work experience within the Learning & Development (L&D) or HR domain is strongly preferred. Technical Skills: Advanced proficiency in MS Excel (data manipulation, formulas, pivot tables, modeling) and MS PowerPoint . Demonstrated experience with PDF Professional tools for document processing and reporting. Core Competencies: Strong analytical thinking with a proven track record of converting raw data into meaningful executive insights. Excellent verbal and written English communication skills . Strong interpersonal, team collaboration, and presentation abilities. Certifications (Preferred): PMP (Project Management Professional) certification is preferred. HR / L&D related professional credentials (e.g., CIPD, SHRM, CHRMP) are an added advantage.

О роли Product Marketing Manager станет связующим звеном между рынком, клиентами, клиентскими командами, новым бизнесом, маркетингом и внутренними экспертами. Главная задача роли — разобраться, кому, что, почему и как мы продаём, и превратить это понимание в работающую систему: клиентскую сегментацию, продуктовый портфель, позиционирование, продуктовые предложения, инструменты продаж и go-to-market. Это не роль только про маркетинговые коммуникации или создание презентаций. Нам нужен человек, который умеет начинать с рынка и потребностей бизнеса, работать с данными и исследованиями и доводить идеи до конкретного продукта и измеримого результата. Чем предстоит заниматься Исследовать рынок и клиентов: — анализировать рынок, категории, конкурентов и ключевые изменения в B2B, IT, MarTech и рекламной индустрии; — проводить количественные и качественные исследования клиентов; — изучать бизнес-модели клиентов, их задачи, процессы принятия решений и критерии выбора партнёров; — формировать ICP, клиентские сегменты, персоны, JTBD, выявлять потребности, барьеры и триггеры покупки; — находить продуктовые и коммерческие возможности на основании исследований и данных. Развивать клиентскую сегментацию: — создать и внедрить рабочую модель сегментации клиентов; — связать сегменты с бизнес-потенциалом, продуктами, форматом отношений и коммерческими приоритетами; — помогать командам нового бизнеса адаптировать проспектинг и квалификацию лидов под разные сегменты; — регулярно обновлять сегментацию на основе данных, обратной связи и результатов продаж. Формировать и упаковывать продукты: — вместе с внутренними экспертами создавать продуктовые предложения под задачи разных клиентских сегментов; — определять ценностное предложение, состав продукта, конкурентные преимущества и ожидаемый бизнес-эффект; — разрабатывать value proposition, message house и product narrative; — участвовать в разработке pricing-логики и оценке экономики продукта; — проверять продуктовые гипотезы на клиентах и превращать обратную связь в решения; — упаковывать сложные технологические и маркетинговые решения понятным для бизнеса языком; — разрабатывать go-to-market-планы для новых и существующих продуктов. Создавать инструменты для продаж и клиентских команд: — разрабатывать credentials и продуктовые материалы для разных клиентских сегментов; — создавать sales kits, one-pagers, кейсы, продуктовые презентации, battle cards, FAQ и шаблоны коммерческих предложений; — обеспечивать команды аргументацией, данными и доказательствами ценности продукта; — адаптировать продуктовую историю под тендеры и встречи с конкретными клиентами; — проводить продуктовые сессии и обучать команды нового бизнеса и клиентского сервиса. Выстраивать систему продуктовых знаний: — создать единый источник знаний о рынке, клиентах, конкурентах и продуктах группы; — определить структуру базы знаний и стандарты описания продуктов; — настроить сбор обратной связи от клиентских команд, нового бизнеса и клиентов; — сделать так, чтобы исследования и знания использовались не только в презентациях, но и в развитии продукта и продажах. Отвечать за результат: — определять продуктовые и маркетинговые метрики; — оценивать потенциальный объём рынка, спрос, воронку, конверсии и экономическую целесообразность запуска продуктов; — анализировать adoption, product penetration, win rate, cross-sell / upsell, retention и вклад продуктов в рост бизнеса; — формировать дашборды и регулярную отчётность; — принимать решения и формировать рекомендации на основании данных. Что для нас важно Мы ищем человека с 4+ годами опыта в Product Marketing Management или на сопоставимой позиции и практическим опытом работы в IT, SaaS, MarTech, AdTech, digital-продуктах или другом технологическом B2B-бизнесе. Важно: — опыт исследования B2B-рынков и клиентов: интервью, анализ данных, сегментация, ICP, JTBD, customer journey; — опыт позиционирования и упаковки сложных продуктов для корпоративных клиентов; — опыт разработки и реализации go-to-market-стратегий; — умение работать с продуктовыми и маркетинговыми метриками, оценивать рынок и коммерческий потенциал гипотез; — сильное аналитическое мышление и способность структурировать неопределённость; — умение превращать исследования и данные в конкретные решения; — опыт кросс-функциональной работы с руководителями бизнеса, продажами, новым бизнесом, клиентскими командами, аналитиками, стратегами и технологическими экспертами; — самостоятельность и готовность не только предложить концепцию, но и довести её до внедрения; — английский язык — не ниже Upper-Intermediate / B2. AI-native mindset Для нас AI — не отдельный эксперимент, а естественная часть ежедневной работы. Важно уметь применять AI для: — исследования рынка и конкурентного анализа; — обработки интервью и клиентской обратной связи; — поиска и проверки гипотез; — работы с большими объёмами неструктурированной информации; — прототипирования продуктовых материалов; — автоматизации регулярных процессов; — создания и поддержки корпоративной базы знаний. Будет большим плюсом, если вы можете показать конкретные примеры того, как AI уже изменил качество или скорость вашей работы. Нам подойдёт кандидат, который: — искренне интересуется B2B-клиентами и умеет видеть за запросом реальную бизнес-задачу; — не боится сложных продуктов, длинных циклов продаж и нескольких лиц, принимающих решения; — соединяет исследовательскую глубину с практичностью и ориентацией на результат; — умеет разговаривать на одном языке с топ-менеджментом, технологическими специалистами и коммерческими командами; — комфортно чувствует себя в среде трансформации, где часть процессов ещё предстоит создать; — любит систематизировать знания и делать сложное понятным; — сочетает высокую самостоятельность с готовностью работать в команде. Будет преимуществом: — опыт в MarTech, AdTech, медиа, консалтинге или агентском бизнесе; — опыт создания B2B-продукта или продуктовой функции с нуля; — опыт построения клиентской сегментации и внедрения её в продажи и сервис; — опыт создания базы знаний или системы sales enablement; — опыт запуска новых продуктов и оценки их коммерческого потенциала; — понимание специфики enterprise-клиентов, тендеров и длинного цикла принятия решений; — опыт работы с BI, CRM, аналитическими и AI-инструментами. Преимущества роли: — возможность влиять не на один продукт, а на продуктовую и маркетинговую модель целой группы; — возможность создать систему продуктового маркетинга практически с нуля; — участие в трансформации агентской группы в современный B2B IT-бизнес; — работа с крупными компаниями и комплексными бизнес-задачами; — доступ к большому объёму клиентской, маркетинговой и индустриальной экспертизы; — высокая видимость результатов роли на уровне руководства и бизнеса. Мы предлагаем: — Гибридный формат работы: баланс офис-дом, работаем с 10:00 до 18:30. — Регулярное обучение и развитие: семинары, бизнес-тренинги, круглые столы, онлайн университет с широким набором профессиональных курсов, индивидуальные планы развития, разговорный английский клуб со скидкой 50%. — Забота о команде: ДМС со стоматологией после ИС, 7 дней-отпуска в году при плохом самочувствии, программа материальной поддержки. — Теплая атмосфера и корпоративная жизнь: политика "открытых дверей" с акционерами и руководством агентства, праздники и вечеринки, клубы по интересам.

Location: Lexington Workplace: OnSite Job Title: Independent BCBA (1099), Full Admin Support & Autonomy, South Carolina Location: Onsite Job Type: 1099 Independent Contractor Earning Potential: up to $125,000+ per year (Based on caseload volume) The Freedom to Focus on Clinical Care (We Handle the Rest) Are you a BCBA tired of burnout, impossible caseloads, and drowning in administrative red tape? At Tellos, we believe that to provide the best clinical outcomes for children, providers need autonomy, support, and a healthy work-life balance. We are looking for Independent Contractor (1099) BCBAs located in South Carolina who want to take control of their career. How It Works Think of this as "plug-and-play" independence. You act as the clinical leader, determining the best course of treatment for your clients. We act as your backend operations team. You Focus On: - Clinical decisions and quality of care. - Determining your own schedule. - Deciding if a case requires in-person support or if telehealth is clinically appropriate. - Taking on as many (or as few) clients as fits your lifestyle. We Handle: - RBT Staffing: We handle the sourcing, vetting, payroll, and retention perks; you make the final decision on who joins your team to ensure the right clinical fit. - The Paperwork: We handle credentialing, authorizations, billing, and claims submissions. - Client Acquisition: We manage the referral pipeline and intake process, connecting you directly with families seeking services so you don’t have to worry about marketing or outreach. Key Responsibilities - Lead Clinically: Conduct robust functional behavior assessments (FBAs) and skill-based assessments to design individualized, evidence-based treatment plans that target meaningful outcomes. - Drive Treatment Fidelity: Provide competency-based supervision and mentorship to RBTs, ensuring protocols are implemented with high fidelity and clinical rigor. - Data-Based Decision Making: Utilize visual data analysis to monitor client progress, modifying instructional protocols and behavior intervention plans (BIPs) in real-time to ensure continuous growth. - Documentation & Medical Necessity: Collaborate with the Tellos admin team to ensure all clinical documentation clearly demonstrates medical necessity, meeting payer standards without compromising clinical depth. - Facilitate Caregiver Partnership: Partner with families through consistent collaboration and parent coaching to ensure skills generalize to the home environment, driving sustainable, long-term outcomes. - Ethical Practice: Uphold the highest standards of professional practice and client dignity in accordance with the BACB Ethics Code for Behavior Analysts. Why Partner with Tellos? - Total Caseload Control: You decide your volume. Whether you want a full-time caseload or just a few clients to supplement your income, you are in the driver's seat. - Telehealth Flexibility: We support a telehealth model where clinically appropriate, giving you the ability to work from home as you see fit (up to 25% of hours as approved by insurance) - No Admin Burnout: Being independent doesn’t mean you have to handle insurance on your own. We have a dedicated team to handle the billing, denials, and authorization processes. - Recruitment Support: We manage the sourcing and first-round interviews so you don’t have to sift through resumes. We present you with vetted candidates for your final approval and provide the backend support systems you need to build a stable team that sticks with you. Qualifications - Active Board Certified Behavior Analyst (BCBA) certification. - Residence in South Carolina required - Master’s Degree in Applied Behavior Analysis, Psychology, or related field. - Strong desire for autonomy and the discipline to manage an independent schedule. - Comfortable using technology for Telehealth supervision and digital data collection. Ready to define your own practice? Step 1: Chat with us about your clinical philosophy and income goals. Step 2: We handle the credentialing and setup to get you ready. Step 3: We match you with clients and RBTs based on your preferences. Step 4: You start working on your own terms. Apply today to reclaim your time and your passion for ABA. We believe in hiring people, not resumes. If you’re excited by Tellos’s mission but unsure if you meet every requirement, we still encourage you to apply, we’d love to learn what you’d bring to the team.

Location: Remote - India AI/ML Solution Architect Education & Assessment Platforms About Pratham International Pratham International is a US 501(c)(3) established to support learning innovations for children and youth in contexts across the globe. We enable the adaptation and spread of proven and scalable education solutions pioneered in India by Pratham Education Foundation to contexts across the global south through programming and technical assistance tailored to local realities. Today, Pratham innovations reach millions of children annually through partnerships across ~30 countries. Through the Pratham Shah PraDigi Innovation Centre (PraDigi), Pratham International also seeks to create technology innovations for low-resource communities, and support models aimed at learning for school, work, and life for children and youth. We work on several cutting-edge projects in the domain of Generative AI, Automatic Speech Recognition, and Natural Language Processing. The team’s innovative technology products include the PadhAI: Reading Assessment App, which uses advanced speech recognition to evaluate children’s reading fluency in 8 Indian languages and 6 global languages; Anytime Testing Machine (ATM), an AI-enabled question generation and grading system that allows learners to be assessed on any topic, anytime; and a suite of AI-powered chatbots designed for diverse learning contexts: from early childhood care, to youth employment readiness, and OCR-based analysis tools that digitize and assess student work at scale. At Pratham International, we build for the long term. Whether it’s ensuring products are truly accessible across rural India and the global south through languages, building datasets to ensure context and accuracy for products, or gathering feedback from the field. Backed by partners like Google.org, Anthropic, and the Gates Foundation, we are committed to building digital public goods that ensure every child is in school and learning well. Role Overview About the work We design and deliver AI systems that governments and large education programmes can actually run: curriculum-aligned item generation, paper assembly, handwriting OCR, rubric grading, and teacher-in-the-loop review. The work is already live as practice assessment in India and is being built as a national exam platform in Rwanda, with further country programmes behind it. We are hiring a Solution Architect who sits between discovery and delivery. You will turn messy workshop notes and ministry requirements into architecture a team can build, secure, cost, and operate — RAG and multi-agent systems, LLM-as-judge pipelines, and the cloud/LLMOps layer underneath. You will Own solution design from first workshop to a delivery-ready blueprint (services, data stores, trust boundaries, cost, ops). Architect LLM pipelines: generation, retrieval over curriculum knowledge graphs, standards/duplication/quality judges, constraint-based paper assembly. Design human + AI workflows with audit, segregation of duties, cycle-pinned config, and no student PII in model calls. Choose and govern models, prompts, eval gates, and fallbacks (including OCR: Azure primary, secondary fallback). Shape the Azure/AWS platform: identity, networking, LLMOps/MLOps, observability, and sovereign-hosting constraints. Run client workshops, write POVs and architecture packs, and stay accountable until the system is in production. About the work Pratham International programmes sit at the intersection of pedagogy, public systems, and production AI. The pattern is consistent across countries; the constraints change. Anytime Testing Machine (ATM) — India, practice and feedback End-to-end assessment for real classroom conditions: generate curriculum-aligned items, digitise handwritten answers (often photographed on a phone), grade against rubrics, and return feedback a teacher reviews before it reaches the learner. Built for high pupil–teacher ratios, mixed language (e.g. Hindi + English), and uneven connectivity. Pilots have already reached thousands of learners, including Second Chance (women returning for Grade 10). Model quality is measured against expert golden sets, not vendor slides. National assessment automation A government-grade exam platform. Phase 1 is item authoring and print-ready paper composition before the exam window. Phase 2 is script intake, OCR at national volume, AI-assisted grading with human confirmation on the pilot, results export, and monitoring/evaluation reporting. Subjects span core and elective streams across the curriculum. Design rules that do not exist in a typical SaaS product: cycle-pinned configuration, embargoed papers, hash-chained audit trails, and integration with national student information and assessment management systems. Curriculum knowledge graphs Structured retrieval corpora (concepts + worked examples) that ground generation and judging. This is the standing public-knowledge exception in an otherwise closed exam system, and the seed of a broader education DPI conversation. AI in TaRL and teacher support AI tools that help teachers group and teach by learning level, with an RCT-shaped evidence bar. Same product family: human agency stays in the loop; the model is a capacity multiplier. Country programmes and the three-year direction Adapt the same engine to new ministries, languages, and exam rules (Kenya and other Global South programmes are in scope). The longer bet is a learning and credentialing engine that recognises competence beyond a single syllabus. This is not a chatbot brief. It is constrained generation, retrieval, judging, document AI, workflow, and public-sector operations. Why this role exists Most enterprise AI dies between the workshop and production. We need one person who owns that gap: someone who can sit with NESA, C4IR, Pratham pedagogy, and engineering in the same week, and leave behind a blueprint the delivery team can execute without inventing policy. The target profile is a practising AI/ML Solution Architect — not a pre-sales slide owner, and not an infra-only platform engineer. The person should have done all three of these: Designed GenAI / NLP solutions, PoCs, and client workshops, and can talk to research-grade issues (eval, agent safety, prompt-injection, model-specific behaviour). Owned the AI platform: LLMOps, MLOps, DevSecOps, SRE habits, cloud migration, and FinOps. Taken messy discovery and turned it into Azure-centred RAG and multi-agent designs that a security team will accept. Key Responsibilities Discovery → architecture Lead solution workshops with programme, ministry, and engineering stakeholders. Convert half-formed requirements into service cuts, data stores, sequence diagrams, decision gates, and open-question lists with owners. Write architecture decision records. When the docs disagree (they will), force a decision instead of coding both. AI system design Design LLM jobs as contracts: inputs, JSON schema, temperature, persist prompt hash / model / tokens / latency. Architect generation grounded in structured curriculum blueprints and knowledge-graph retrieval, not "ask the model for a maths paper." Design LLM-as-judge banks (cognitive-level, relevance, difficulty, language, fairness, standards, duplication, blueprint compliance) with thresholds, one-repair rules, and golden-dataset release gates. Design hybrid assembly: constraint solver first, model only on ties and layout exceptions. Design document AI: primary OCR provider, secondary fallback provider, confidence routing, de-identification before any grading call. Specify eval: inter-rater agreement, rubric-band exact match, first-pass item acceptance, cost per paper cycle. Platform, trust, cost Own the reference architecture on the chosen cloud platform(s): identity, RBAC + segregation of duties, private networking, key management, object storage for scans, vector index, data warehouse for monitoring/evaluation reporting. Draw trust boundaries. Student PII never crosses the model gateway. Prompts are curriculum + knowledge-graph + blueprint content only. Put FinOps on the design: token budgets, OCR cost caps, degradation behaviour when a cap is hit, model routing. Specify LLMOps/MLOps: prompt/version registry, eval regression as a release gate, observability, rollback. Design for sovereign hosting and exam-cycle operations (embargo, watermarking, append-only audit, cycle-pinned configuration). Delivery and thought leadership Stay with the build through the first production cycle. Architecture that cannot be implemented is unfinished work. Produce POVs, sequence packs, and workshop artefacts that can be reused in the next country. Mentor tech leads on where the model should stop and the workflow should start. Success in the first two quarters First 30 days — Orient Complete architecture walkthroughs of every live/in-flight system with the current engineering leads; document current state (services, data stores, trust boundaries) as-is, not as-designed Meet every active stakeholder group once: engineering, programme/domain leads, and any external partner or government-side counterpart Inventory all open technical decisions and disagreements in existing specs; log each with current owner (if any) and status Identify the single highest-risk unresolved design question and flag it upward Day 60 — Diagnose Produce a current-state architecture diagram covering every major pipeline: data flow, model/LLM touchpoints, storage, and identity/access boundaries Assign an owner and target resolution date to every open contradiction identified in month 1 Draft a v1 reference architecture for one representative end-to-end workflow: service breakdown, data stores, identity/access model, model gateway placement, and a first-pass cost estimate Day 90 — Commit v1 reference architecture is reviewed and accepted by engineering and relevant stakeholders (not just self-signed) Can walk any core pipeline end-to-end from memory and name every data store, every quality/eval gate, and every trust boundary in it At least one architecture decision record is published for a previously-contested design question, with the decision forced rather than left open A first cost model exists for the reference architecture, with at least one identified lever for reducing spend if usage scales Day 120 — Harden Core pipeline components (generation, retrieval, judging/eval, or equivalent stages for this domain) have documented contracts: defined inputs/outputs, schema, and logged metadata (model, version, cost, latency) An evaluation harness exists for at least one component, with a defined pass/fail threshold A release gate exists that can block a bad prompt, model, or config change from reaching production Day 150 — Extend The next major system phase or capability is specified to the same rigor as the first: trust boundaries, failure modes, fallback behavior, and cost caps documented before build starts FinOps guardrails are in place for at least one production workload: budget ceilings, degradation behavior when a cap is hit, and a routing or fallback strategy Day 180 — Generalize A reusable design pattern or adaptation pack exists, separating what is fixed in the architecture from what varies by deployment context (e.g. language, hosting environment, external-system integration, content/domain rules) At least one engineering or technical lead has been mentored on where model-based logic should stop and deterministic/workflow logic should take over A second production-readiness review (security, cost, or operations) has been passed on a system this person designed or substantially redesigned Qualifications and Experience Must have 8+ years building software or data/AI systems, with recent experience as a Solution Architect, AI/ML Architect, or Principal/Staff Engineer with end-to-end architecture ownership. Shipped at least one production AI/ML system — RAG, multi-agent, LLM-as-judge, or a comparable classical ML/NLP pipeline at scale — that passed a real security, cost, and operations review, not just a pilot or a slide deck. Can produce a delivery-ready architecture blueprint: services, data stores, IAM, failure modes, evaluation strategy, and cost model — detailed enough that engineering isn't guessing at intent. Deep cloud experience on Azure and/or AWS: comfortable defending a landing-zone design, private-endpoint architecture, and a real monthly compute/inference/OCR spend. Fluent in Python, with hands-on experience in both classical ML (model training, evaluation, feature pipelines) and how LLM APIs, embeddings, and vector search actually behave under production load. Comfortable running a room with non-engineers — domain specialists, IT stakeholders, monitoring/evaluation teams — and translating fluently in both directions. Strong written English; this role's output is documentation that functions as a binding technical contract. Strongly preferred Azure AI (AI Foundry / OpenAI / Document Intelligence), plus one of AWS (Bedrock, SageMaker) or GCP (Vertex, BigQuery). LLMOps / MLOps: prompt + model versioning, MLflow or equivalent, eval harnesses, CI that can block a bad prompt. Document AI / OCR at volume; handwriting and low-quality scans, not only clean PDFs. RAG over structured knowledge (graphs, ToS, textbooks) and hybrid search, not only naive chunking. Education, assessment, public sector, or other high-audit domains (health, finance, identity). Certifications: Azure Data Scientist / Azure Solutions Architect; AWS SAA, ML Specialty, or Data Analytics Specialty. Experience with agent security: tool-use limits, DLP on egress, prompt-injection evaluation that is model-specific. FinOps discipline. You have killed a design because it would not survive the token bill. Nice to have Microsoft Fabric, Databricks, Semantic Kernel / Microsoft Agent Framework, MCP (Model Context Protocol) tool integration for agentic workflows. Constraint solvers or exam-blueprint / item-bank systems for automated test assembly. Multilingual generation and feedback, including code-mixed language pairs (e.g. Hindi–English, Spanish–English, or similar). Experience standing up golden/eval datasets with subject-matter experts. Prior work with government data systems, data-sharing agreements, or in-country/sovereign hosting requirements. What this role is not Not a research-only post. Publications help; shipping is the job. Not a pure platform/SRE hire. Infra is part of the design, not the whole design. Not a prompt engineer who hands off “the architecture” to someone else. Not a people manager of a large team on day one — you influence through artefacts and reviews. How we will assess you We value transparency and respect your time. Our hiring process is designed to evaluate both hands-on technical depth and architectural judgment through practical, real-world tasks. Stage 1: Application & Knockout Screening Submit your CV alongside key screening responses Artefact — send two of: architecture note, eval design, runbook, ADR. Slides without decisions do not count. Stage 2: Initial Conversation (30 mins) An introductory screen covering your background, project context and baseline alignment. An opportunity for you to ask questions about our technical roadmap, partner ecosystem, and vision. Stage 3: Practical Take-Home Written Assessment (2–3 hours) Design exercise on a constrained generation + judge + human-review pipeline (we will use a sanitised exam-authoring brief). We want trust boundaries, eval, and cost, not a model-name dump. Stage 4: Deep-Dive Technical & System Architecture Walkthrough Walkthrough of a system you shipped: what failed in review, what you changed, what it costs to run. Stage 5: Final Stakeholder & Vision Alignment Final conversation with key technical leadership and program stakeholders. Employment Details Function: Solutions / Architecture Reports to: Head of Technology / CTO Expected Start Date: Immediate Location: India (remote-first; travel to client workshops as needed) Experience: 8–13 years (strong 6–8 considered if you have shipped production GenAI) Engagement: Full-time Remuneration: Based on candidate’s experience and skillset Flexibility to work across timezones: Our team spans Latin America to Southeast Asia. Early mornings  or late evenings can be a regular part of the rhythm Why join us? Impact at Scale: Your work will directly support the learning journeys of millions of children. With programs active in 31 countries, you will help build Digital Public Goods that bridge the gap for the millions of children across the Global South who still struggle with foundational literacy Innovation at the intersection of Education and Technology: Lead the charge in redefining learning and learning processes through technology. You will contribute to the design and development of cutting-edge learning tools and AI-driven initiatives, ensuring EdTech isn’t just a buzzword, but a scalable solution for global equity. A Culture of Growth and Evidence: At Pratham, we value rigorous testing and continuous learning. You will have the autonomy to experiment with the latest SOTA models, supported by a 5-year strategic roadmap and funding from partners like the Gates Foundation and Anthropic. High-Calibre, Mission-Driven Team: You will work alongside a global team of experts from institutions like MIT, Harvard, and INSEAD. Our alumni have gone on to lead successful startups and international policy shifts, all while remaining dedicated to the goal of “Every Child in School and Learning Well.” Inclusive and Collaborative Environment: Join a diverse team that spans Asia, Africa, and Latin America. We value innovative thinking and local expertise, ensuring that the technology we build is deeply rooted in the realities of the communities we serve. Pratham International is an equal opportunity employer and encourages all qualified people from diverse backgrounds to apply for positions within our organisation, regardless of race, gender, disability or any other status.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, Portugal Role Summary Cloudflare MCP Server Portals give organizations a secure, centralized way to connect AI agents to internal and third-party tools. As a Senior Systems Engineer on the MCP Portals team, you will lead the design, delivery, and operation of distributed systems that authenticate users, manage OAuth credentials and sessions, enforce Zero Trust policies, and proxy MCP traffic across Cloudflare's global network. You will own complex projects across service boundaries, make architectural tradeoffs for your area, and help other engineers deliver reliable, secure changes. You will work closely with engineers and product managers across Access, Gateway, and Developer Platform teams as the protocol and product evolve. We are looking for a hands-on engineer who can bring clarity to ambiguous systems problems and take responsibility for outcomes in production. Role Responsibilities Lead the design, implementation, and operation of globally distributed services that connect MCP clients to authorized upstream MCP servers. Own complex features and service improvements from problem definition and design through implementation, rollout, observability, and production support. Shape technical decisions for MCP Portals, including service boundaries, security controls, compatibility, and tradeoffs among reliability, latency, and resource use. Evolve our implementation as the MCP specification changes, planning safe migrations for existing customers and integrations. Design and review authentication and authorization flows involving Cloudflare Access, OAuth, identity, credential handling, and delegated access to upstream services. Improve the reliability and scalability of multi-tenant systems built on the Cloudflare Developer Platform, using production data to identify and prioritize work. Strengthen observability through structured logs, metrics, traces, dashboards, and actionable alerts; participate in production support and incident response. Lead investigations of complex customer issues across services and teams, identify root causes, and drive fixes that prevent recurrence. Review designs and code, mentor engineers, and raise the quality of testing, deployment, and operational practices on the team. Partner with product, security, and engineering teams to turn customer needs and emerging standards into maintainable product capabilities. Role Requirements Must Have Skills 6+ years of experience building and operating distributed systems, backend services, network services, or infrastructure products in production. Demonstrated ownership of complex production services or projects, including architecture, implementation, rollout, and operational outcomes. Strong programming skills in TypeScript, JavaScript, Go, Rust, C++, or another language used to build production services. Deep understanding of HTTP, APIs, proxies, streaming connections, and distributed-systems failure modes. Experience with authentication and authorization technologies such as OAuth 2.0, OpenID Connect, JWTs, PKCE, or policy-based access control. Experience designing or operating security-sensitive systems, with sound judgment about identity, authorization, credential handling, concurrency, and state management. Ability to diagnose difficult production issues using logs, metrics, traces, error reporting, and customer-provided evidence, then drive durable fixes. Experience making backward-compatible changes to live systems and managing the risks of deployment and migration. Clear written and verbal communication skills, with the ability to explain technical tradeoffs, influence decisions across teams, and mentor other engineers. Applicants should provide a resume or CV describing relevant engineering, technical leadership, and operational experience. Nice to Have Skills Experience with the Model Context Protocol Familiarity with the Cloudflare Developer Platform or other serverless edge-computing platforms. Experience building gateways, forward proxies, identity systems, developer platforms, or Zero Trust and data loss prevention products. Compensation Compensation may be adjusted depending on work location. For Portugal based hires: Estimated annual salary of €66,000-91,000 Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote About Osano Osano is an innovative B-Corporation built around a simple belief: privacy is a fundamental right. Since day one, we’ve been focused on giving modern enterprises the ability to innovate quickly, stay competitive, and earn customer trust by respecting data privacy and complying with consent guidelines. Our products help organizations operate confidently in a rapidly evolving regulatory and technological landscape. About the Role Osano is looking for a Demand Generation Manager to help build and execute programs that create awareness, generate qualified pipeline, and ultimately drive revenue growth. This is a hands-on individual contributor role for someone who enjoys both the strategic and executional sides of demand generation. You'll own campaigns from idea through execution and measurement, working closely with Sales, Marketing, Content, Product Marketing, and Revenue Operations to reach the right audiences with the right message at the right time. We're looking for someone who is comfortable digging into performance data, experimenting with new approaches, and continuously improving how we generate and convert demand. You'll have meaningful ownership over your programs without direct people-management responsibilities. What You'll Do Develop and execute integrated demand generation campaigns and programs end to end to drive qualified pipeline against Osano's revenue goals. Build multi-channel programs across email, paid media, content syndication, sponsorships, webinars and events, content, organic channels, and account-based marketing. Own Osano's in-house paid media program across core and emerging channels like Google/Bing search, LinkedIn, YouTube, Reddit, and ChatGPT Partner closely with Sales to ensure campaigns align with target accounts, pipeline priorities, and the needs of the go-to-market organization. Collaborate with Product Marketing and Content to develop compelling campaign messaging, offers, and assets for key audiences and stages of the buyer journey. Work with Revenue Operations to ensure campaigns, lead flows, attribution, and reporting are set up accurately within our marketing and CRM systems. Monitor campaign performance and pipeline contribution, using data to identify what's working, what isn't, and where we should invest next. Analyze funnel performance across lead generation, conversion, pipeline creation, and revenue to identify opportunities for improvement. Develop audience segments and targeted programs based on industry, persona, account characteristics, intent, and buyer behavior. Test and optimize messaging, channels, creative, audiences, and conversion paths to continually improve campaign performance. Help develop and refine Osano's account-based marketing strategy and execute programs targeting high-value accounts. Manage campaign budgets and make recommendations on how to allocate spend based on performance and business priorities. Partner with Marketing Operations to maintain strong campaign tracking, reporting, and attribution. Stay current on demand generation trends, channels, and tools, bringing new ideas and experiments to the team. Share campaign insights and results with Marketing, Sales, and other stakeholders, translating performance data into clear recommendations and next steps. What We're Looking For 5+ years of experience in demand generation, growth marketing, integrated marketing, or a related B2B marketing role, preferably within SaaS or technology. Demonstrated experience building and executing integrated campaigns that contribute to pipeline and revenue. Strong understanding of the B2B buyer journey and how marketing programs influence prospects from initial awareness through opportunity creation. Experience working across multiple demand generation channels, including email, paid media, content, webinars/events, and ABM. Hands-on experience running paid search and LinkedIn campaigns in the platforms yourself, not through an agency, with a track record of scaling spend efficiently. Strong analytical skills with the ability to interpret campaign and funnel data and turn insights into action. Experience with marketing automation and CRM platforms such as HubSpot and Salesforce. Familiarity with campaign attribution, funnel metrics, lead management, and pipeline reporting. Comfortable owning projects independently and moving between strategy and hands-on execution. Strong project management skills with the ability to manage multiple campaigns, stakeholders, deadlines, and priorities at once. Collaborative mindset and experience partnering closely with Sales, Revenue Operations, Product Marketing, and Content. Curious and experimental approach—you enjoy testing ideas, learning from the results, and continuously improving performance. Clear communicator who can explain both campaign strategy and performance to stakeholders across the organization. What Success Looks Like In this role, success isn't measured simply by the number of campaigns launched or leads generated. You'll help Osano build a demand generation engine that consistently reaches the right audiences and translates marketing investment into meaningful business results. You'll be successful when you're: Generating qualified pipeline that supports company revenue goals. Improving conversion throughout the marketing and sales funnel. Building repeatable, scalable campaigns rather than relying on one-off tactics. Giving the team clear visibility into campaign and channel performance. Using data and experimentation to continually improve marketing effectiveness. Building strong alignment between Marketing and Sales around audiences, campaigns, and pipeline. Who You Are You're equal parts marketer, operator, and problem solver . You can zoom out to think about campaign strategy and the buyer journey, then zoom in to build, launch, analyze, and optimize the program yourself. You're comfortable with numbers but don't lose sight of the people behind them. You understand that great demand generation isn't just about producing more leads—it's about creating the right engagement with the right buyers and turning that engagement into sustainable pipeline and revenue. Most importantly, you're someone who likes to own your work. You don't need a large team beneath you to make an impact; you're energized by rolling up your sleeves, collaborating across the business, and seeing your ideas translate into measurable results. Why Us A well-defined career path that’s not just “climbing the ladder” - learn different competencies, skills, and concepts as you progress and get recognized for it. Supportive leadership and peers - from sales engineering and product marketing to sales development and demand generation - you’re never in this alone. You’ll be stepping into a space that’s on fire – the privacy and regulatory landscape is only growing with a ton of opportunity in front of us. You’ll become a privacy expert, including the opportunity to receive your Certified Information Privacy credential. You’ll be representing a product that makes prospects say, “This is so awesome” when you demo it. Benefits Competitive compensation + ownership interest for an early stake in our success! Unlimited paid time off with a requirement to take at least two weeks off per year. We're continuously a Best Place for Working Parents and offer paid parental leave for all new parents + believe that family, however you define it, comes first. Osano sponsors individual premiums for base plans at 100% and dependent premiums at 50% for Medical, Dental, and Vision Insurance via Aetna. A fully, permanently remote company so you can work from anywhere in the U.S. Receive a MacBook + $600 to craft your home workspace Annual company trip designed to foster connection, creativity, and fun together! Mental health benefits with free memberships to mindfulness + talk therapy services A Bit More About Osano Osano is a leading data privacy platform that helps organizations quickly and confidently comply with laws like GDPR, CCPA, and other global privacy regulations. From consent management to vendor risk monitoring, Osano makes complex privacy tasks refreshingly simple, so companies can focus on what they do best, while we handle the rest. We’re backed by top-tier investors including Baird Capital, Jump Capital, and LiveOak, and we’re scaling fast with a multi-year runway and ambitious growth plans. We’ve also been recognized as a Great Place to Work for four years running, with 97% of employees saying Osano is a great place to work. As we grow, we're looking for individuals who lean into modern technologies and smarter systems to drive efficiency, clarity, and speed; both in our product and in how we operate. If you're excited by the idea of helping build a high-growth, privacy-first company that embraces thoughtful automation, emerging tech, and intentional collaboration, we’d love to hear from you. Osano is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, genetic information, disability, veteran status, or any other characteristic protected by applicable law.

Location: Utah | Hybrid Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we believe in leveraging cutting-edge technology to empower people and transform HR. We’re actively integrating AI into our solutions and workflows to enhance efficiency and drive innovation. To that end, we’re looking to our existing team members and future hires to share this forward-thinking mindset: individuals who are curious about AI’s potential, eager to learn and adapt, and ready to explore how intelligent tools can elevate their work along with BambooHR’s impact on setting people free to do great work. Join us in reimagining the future of HR! Essential Job Duties BambooHR is rebuilding its Security Operations function around AI. We are not adding AI tooling to an existing SOC - we are redesigning how the work happens, so that automation and AI agents carry the volume and our people carry the judgment. We are looking for a manager to lead that team and own that transformation. You will lead a team spanning detection engineering, threat intelligence and hunting, and incident response. Day to day, you will run a live operation: incidents, detections, hunts, on-call coverage, service-provider relationships, and the operational metrics that leadership works from. Running alongside that operation is the change itself — automating triage and enrichment so analysts stop working queues, building detection content we write, tune and own, and standing up threat intelligence as a program that produces detections and hunt hypotheses rather than reports that have no clear actionable insights. The reason this role exists now is that the surface a security team defends is changing shape. As HR technology becomes more AI-driven and more agentic, autonomous software acts with real authority, machine identities multiply, and attacks accelerate. That surface grows faster than any security team can hire against, which is why we staff for judgment and build automation for volume. This role sits at the center of that decision - and the person in it will spend a meaningful part of their time deciding, in writing, how much authority automated systems are allowed to hold. You will: Supervisory Responsibilities Leads and grows a team of security analysts, detection engineers, and threat intelligence practitioners. Recruits, interviews, hires, onboards and retains technical security talent in a competitive market. Oversees the daily workflow of the team: shift coverage, on-call rotation, incident assignment, and detection backlog priority. Provides constructive and timely performance evaluations, and builds development plans against the skills an AI-native SOC actually requires: detection-as-code, agent supervision, and intelligence tradecraft. Supports career growth and internal mobility across the broader security organization, treating it as a retention strategy rather than a loss. Handles discipline and termination of employees in accordance with company policy. Run the operation Own daily security operations end to end - alert handling, shift coverage, on-call rotation, escalation quality, and detection backlog priority and rule retirement. Serve as incident commander for the majority of security incidents, and partner with the VP of Information Security on the most severe incidents and on executive communication. Manage security service-provider relationships, including service reviews, escalation quality, and tuning direction. Publish a regular operational metrics pack that the team and executive leadership both work from. Automate the volume, not the analyst Build and enforce an automated incident runbook program covering the incident types behind the majority of alert volume. Drive the automation of Tier-1 triage and a growing share of Tier-2 workflows, so routine work resolves without a human touching it and escalations arrive as an assembled case with clear timeline, scope, and blast radius, rather than a raw alert. Redirect reclaimed capacity upward rather than out of the team - into deeper investigation, detection engineering, and threat intelligence. Own the detections Run detection engineering as a product: a prioritized backlog including rules in version control with CI validation, and a full lifecycle of write, test, deploy, measure and retire. Build in-house detection capability against our own security telemetry, so detection content is something we write, tune and can explain to an engineer, an auditor or a customer. Build threat intelligence and hunting into programs Stand up a formal threat intelligence program: approved intelligence requirements, a collection plan mapped to real sources, and a threat model grounded in the risks that actually apply to employee and payroll data. Ensure every finished intelligence product ends in a detection, a hunt hypothesis, or a control change. Run a hypothesis-driven hunting program on a regular cadence, and make intelligence genuinely useful to teams outside the SOC. Build the AI-native SOC Lead the team through the shift from AI-assisted work (where agents draft and humans approve) to delegated work (where agents act inside explicit, written authority boundaries). Protect what stays human - adversary reasoning, incident command when consequences are real, disclosure decisions, and the calls that should not be delegated to a machine. Build detection and response coverage for AI-era threats: prompt injection and tool abuse, autonomous software operating with real authority, and machine identity at scale. Partner across security engineering, product security, identity and access management, and governance and risk on shared platforms, shared threats, and shared audit obligations. What You Need to Get the Job Done 5+ years in security operations, incident response, or detection engineering, including 2+ years directly managing a team of security analysts or detection engineers. Experience running a SOC or detection function at a SaaS or cloud-native company, ideally one with a multi-tenant product and a live compliance calendar (SOC 2 and/or ISO 27001). Hands-on detection engineering credibility. You have personally written, tested, tuned and retired detections, and you are comfortable treating detection content as code in version control with CI validation. Experience owning a managed detection relationship (MDR or MSSP). Direct experience automating SOC workflows through SOAR, runbook automation, or LLM- and agent-based triage and enrichment. You can speak concretely about what was automated, what the false-negative rate was, and how you measured it. Working fluency with modern security data platforms — data lake or lakehouse architectures — and comfort querying telemetry directly rather than only through a vendor console. Incident command experience under real pressure, including executive and cross-functional communication during an active incident. Strong people leadership: hiring, coaching, performance management, and the judgment to lead a technical team through significant change honestly rather than through reassurance. Excellent written communication. This role publishes runbooks, authority boundaries, intelligence requirements, and metrics that executives read. Excellent prioritization, and the ability to say no with a reason. The defended surface grows faster than any team does, and protecting your team from over-commitment is part of the job. Comfort working in an AI-forward environment where agents write and test code, participate in design review, and run triage. Ability to function well in a high-paced and at times stressful environment, including on-call escalation. Bachelor's degree in Computer Science, Information Security, or a related field - or equivalent practical experience. Practical experience is weighted more heavily than the degree. At least five years of related security operations experience required. Physical requirements can include prolonged periods of sitting at a desk and working on a computer. Must be available for on-call escalation and to lead incident response outside standard business hours when incident severity requires it. What Will Make Us REALLY Love You Experience securing AI or agentic systems - prompt injection, tool abuse, and third-party or autonomous code holding execution authority. Prior experience standing up a threat intelligence program from zero: intelligence requirements, collection planning, intel-to-detection pipeline, and adversary emulation. Experience transitioning detection capability in-house from a managed provider. Experience with non-human identity at scale - service accounts, workload identity, machine credentials - and its detection implications. Background in HR, payroll, or fintech SaaS, or other environments where employee data and payment fraud are primary adversary objectives. Experience with cyber resilience practice: backup immutability verification, recovery drills, and recovery-time objectives measured against contractual commitments. Experience building or supervising LLM agents in production, including evaluation, guardrail design, and human-in-the-loop review patterns. Public contribution to the detection engineering or threat intelligence community - detection rules, open-source tooling, conference talks, or published research. Security certifications (GCIA, GCIH, GCFA, GDAT, GCTI, OSCP, CISSP) preferred, not required. What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc , and Salt Lake Tribune Comprehensive health, life, and disability insurance Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life 401k plans with up to 6% company match $2000 Paid-Paid Vacation bonus EAP through Headspace Check out all our benefits that benefit you About Us At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer--M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here . Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details. See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

Location: Pensacola, FL About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, Ohio, Kentucky, Mississippi, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today! The LPN Care Coordinator Team Lead is a senior, field-based role within Ennoble Care’s Care Coordination program. This position combines hands-on, embedded care coordination responsibilities with the oversight, leadership, and operational management of a team of 8–12 Embedded Care Coordinators (CCs) across clinics. The Team Lead serves as the subject matter expert for facility-based care coordination, acting as a trusted bridge between Ennoble Care’s clinical teams, clinical staff, and the broader care coordination function. Ennoble Care fosters an integrated, respectful culture that values accountability, meaningful impact, and long-term professional growth based on performance and organizational needs. KEY RESPONSIBILITIES Clinical Operations & Patient Care Maintain consistent embedded presence at assigned clinics and serve as a practicing CC for Ennoble Care's patient panel where applicable (depending on panel size expectations above) Execute all core daily CC responsibilities such as prescription management, lab/radiology orders, referral coordination, pre-visit check-ins, missed treatment outreach, and post-discharge follow-up Function as the “glue” between facility staff and Ennoble Care’s services, including house calls, hospice, and ancillary programs Conduct proactive rounds with both patients and clinic staff, respond to acute patient needs, and escalate to providers as appropriate Meet the same daily task minute goal as a standard Team Lead (400 mins/day), unless engaged in approved training or onboarding activities Support facilitated telehealth and RPM programs within assigned facilities Team Leadership & Oversight Directly oversee a team of 8–12 Embedded CCs across multiple facilities and/or markets Provide day-to-day guidance, coaching, and support — ensuring all CCs execute daily responsibilities consistently and to standard Serve as the primary point of escalation and problem-solving resource for the embedded CC team Monitor individual and team performance against KPIs; address performance gaps directly or escalate as needed Coordinate with the providers to ensure they have everything needed from the CC team Partner with leadership on staffing decisions, performance management, and team development Set and model the standard for documentation quality, reliability, communication, and patient engagement Backfill for Embedded CCs as needed to maintain care continuity Travel to facilities to oversee Care Coordinators and assist as needed Training & Onboarding Support onboarding and training of new Embedded CCs, ensuring completion of all required credentialing and training modules Support new Embedded CCs through their ramp period, setting performance expectations and conducting regular check-ins Clinic Relationships & Collaboration Build and maintain strong working relationships with clinic staff to ensure smooth day-to-day coordination Represent the CC team professionally in any joint meetings Performance Tracking & Process Improvement Monitor and report on clinical and operational metrics weekly; track and escalate any metric trending off target in a timely manner Ensure accurate, up-to-date patient documentation in OA at all times Flag operational issues, workflow gaps, or patient concerns promptly and propose solutions Help refine and update CC-facing tools, checklists, and SOPs as the program evolves QUALIFICATIONS Required CMA or LPN license required Valid Driver's license and access to a vehicle required At least 2 years of management experience in a healthcare setting Knowledge of principles and processes for providing customer and patient services, including customer needs assessment, meeting quality standards for services, and evaluation of customer satisfaction Knowledge of business and management principles involved in strategic planning, resource allocation, human resources modeling, leadership technique, production methods, and coordination of people and resources Proficiency in the structure and content of the English language, including the meaning and spelling of words, rules of composition, and grammar Understanding of principles and methods for curriculum and training design, teaching and instruction for individuals and groups, and the measurement of training effects Familiarity with principles and procedures for personnel management Preferred Experience in a lead, senior, or supervisory care coordination role Familiarity with facility-based operations and workflows Experience onboarding or training colleagues in care coordination workflows COMPENSATION & BENEFITS Starting salary: $50,000 Quarterly bonus opportunities based on performance Mileage reimbursement eligibility when traveling between clinics Full-time benefits eligibility after 30 days of employment with a variety of options, including a Wellness Pet Plan for your furry family members! We appreciate your interest in joining Ennoble Care, where To Care is an Honor ❤️ #brown Full-time employees qualify for the following benefits: Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity. Paid Time Off Paid Office Holidays All employees qualify for these benefits: Paid Sick Time 401(k) with up to 3% company match Referral Program Payactiv: pay-on-demand. Cash out earned money when and where you need it! Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended. Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Location: Phoenix Workplace: Remote Becoming a SonderMind psychiatrist means joining a community of mental health professionals who are committed to making a difference in people’s lives through personalized, evidence-based psychiatric care. Led by the Medical Director of Clinical Integration and Psychiatrist Dr. Lindsay Evans-Mitchell, and a strong multidisciplinary clinical team, our clinical strategy is rooted in evidence-based care with personalized treatment approaches. Our mission is to improve the lives of our clients and those delivering care like you! With SonderMind, you can practice psychiatry the way you’ve always envisioned while providing high-quality, evidence-based care for improved outcomes with ease. We make it possible to build and grow your practice or expand an existing practice with robust support, tools, and measurement-based care techniques. Working with SonderMind gives you access to our portal which includes scheduling assistance tools, patient communication channels, secure Video Telehealth, insurance credentialing, legal and financial security, and much more. Being a SonderMind psychiatrist means you have: - Flexibility: Have an office-based psychiatry practice, practice telemedicine, or have a hybrid practice while enjoying the freedom to set your own working hours - Exclusive Insurance Payor Access: Only SonderMind provides complimentary credentialing for both traditional Medicare and Medicare Advantage plans, including Humana and United Healthcare. - Free and stress-free credentialing with major insurers: We have streamlined the credentialing process and handle all the hard stuff for you so that you can expand your practice by accepting insurance from major payors in your state in weeks, not months - SonderMind Psychiatry’s Quality Assurance Program: You have the option to participate in weekly Office Hours with your colleagues and Sondermind’s Medical Director - Clinical Autonomy: SonderMind values your clinical expertise and empowers you to make informed decisions about treatment approaches - Supportive Community: Engage with thousands of peers and mental health clinicians across the country to consult on cases and grow your professional network - Thoughtful client matching and dedicated coaches to grow your practice: We help you get paired with individuals who are ideal clinical matches so that you can control and personalize your caseload, and a dedicated coach to help you help your clients - Professional Development: SonderMind is committed to helping providers grow professionally, offering ongoing training and resources to enhance skills - Guaranteed Pay: We handle all the billing for you and guarantee pay bi-weekly for completed sessions-including no-shows Applicants must be: - Looking for a full-time or part-time contract position (1099) Pay: up to $232 per hour. Pay rates are based on the provider license type and session types.   *Please note that SonderMind does not provide office space; clinicians are responsible for securing their own location for in-person sessions, but we can help connect you with Sondermind clinicians looking to share space. #IND-A

Location: Remote About Osano Osano is an innovative B-Corporation built around a simple belief: privacy is a fundamental right. Since day one, we’ve been focused on giving modern enterprises the ability to innovate quickly, stay competitive, and earn customer trust by respecting data privacy and complying with consent guidelines. Our products help organizations operate confidently in a rapidly evolving regulatory and technological landscape. About the Role We’re hiring an experienced SaaS Sales Manager to nurture and inspire a high-performing team of 9 Account Executives. Our sales team is instrumental in driving Osano forward by bringing our suite of products to a new generation of customers. We’re an energetic, kind, and intentional team looking for our next leader to enthusiastically support Osano’s products, people, ideals, and values. Responsibilities Revenue Leadership Design and execute quarterly and annual sales plans. Support the sales team with prospect meetings, presentations, and negotiations. Conduct weekly forecast reviews and quarterly progress review sessions. Own your team's quarterly quota, designing and deploying strategies to achieve it. Manage productivity, opportunities, and quality to ensure teams meet/exceed established goals and provide a delightful customer experience. Make ongoing process improvements, recommendations, and implementation of systems that will make our team more efficient. Be a strong cross-functional partner to Sales Enablement, Product, Marketing, & Customer Success. Team Development Embody inclusive, servant leadership and nurture coach individuals at all levels to success. Hire, mentor, and develop individuals to bring intellectual curiosity, resilience, and resourcefulness to their roles. Provide feedback + focus your team of account executives. Collaborate with the People team on hiring and development to ensure a diverse team that’s exceeding expectations. Coach team members on sales acumen, product positioning, forecasting, and deal-level execution. About You You have 2-5  years of experience managing + leading a team of Account Executives, plus your own experience as an Account Executive (or a similar role), in an enterprise SaaS environment. Ideally, you have some experience in governance/risk/compliance technology, legaltech, cybersecurity, or similar technical sales environments. However, this is not a requirement. You’re a team player willing to get in the trenches with your team. You are familiar with MEDDPICC, Challenger, and/or Force Management methodologies. You possess excellent communication skills and have no problem managing expectations at various levels in a 100% remote office environment. You’ve successfully built, grown, and led a sales team, including hiring early-stage talent. You thrive in fast-paced, remote environments and have a way of nurturing early-career talent to do the same. This means being empathetic, proactively communicating, and bringing ingenuity and initiative to your every day. You’re customer-focused and bring examples of how you’ve identified + responded to internal and external customer needs. You recognize opportunities and initiate actions to capitalize on𑁋You’re always looking for new ways to make an impact. You’re an innovative thinker; you embrace and champion new ideas and encourage others to do the same. You build strong relationships and convey a deep concern for all employees. You ensure individual needs + those of Osano are met and thoughtfully communicate up and down. Why Us A well-defined career path that’s not just “climbing the ladder” - learn different competencies, skills, and concepts as you progress and get recognized for it. Supportive leadership and peers - from sales engineering and product marketing to sales development and demand generation - you’re never in this alone. You’ll be stepping into a space that’s on fire – the privacy and regulatory landscape is only growing with a ton of opportunity in front of us. You’ll become a privacy expert, including the opportunity to receive your Certified Information Privacy credential. You’ll be representing a product that makes prospects say, “This is so awesome” when you demo it. Benefits Competitive compensation + ownership interest for early stake in our success! Unlimited paid time off with a requirement to take at least two weeks off per year. We're continuously a Best Place for Working Parents and offer paid parental leave for all new parents + believe that family, however you define it, comes first. Osano sponsors individual premiums for base plans at 100% and dependent premiums at 50% for Medical, Dental, and Vision Insurance via Aetna. A fully, permanently remote company so you can work from anywhere in the U.S. Receive a Macbook + $600 to craft your home workspace Annual company trip designed to foster connection, creativity, and having fun together! Mental health benefits with free memberships to mindfulness + talk therapy services A Bit More About Osano Osano is a leading data privacy platform that helps organizations quickly and confidently comply with laws like GDPR, CCPA, and other global privacy regulations. From consent management to vendor risk monitoring, Osano makes complex privacy tasks refreshingly simple, so companies can focus on what they do best, while we handle the rest. We’re backed by top-tier investors including Baird Capital, Jump Capital, and LiveOak, and we’re scaling fast with a multi-year runway and ambitious growth plans. We’ve also been recognized as a Great Place to Work for four years running, with 97% of employees saying Osano is a great place to work. As we grow, we're looking for individuals who lean into modern technologies and smarter systems to drive efficiency, clarity, and speed; both in our product and in how we operate. If you're excited by the idea of helping build a high-growth, privacy-first company that embraces thoughtful automation, emerging tech, and intentional collaboration, we’d love to hear from you. Osano is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, genetic information, disability, veteran status, or any other characteristic protected by applicable law.

Location: Remote About Osano Osano is an innovative B-Corporation built around a simple belief: privacy is a fundamental right. Since day one, we’ve been focused on giving modern enterprises the ability to innovate quickly, stay competitive, and earn customer trust by respecting data privacy and complying with consent guidelines. Our products help organizations operate confidently in a rapidly evolving regulatory and technological landscape. About the Role We’re hiring an experienced SaaS Sales Manager to nurture and inspire a high-performing team of 9 Account Executives. Our sales team is instrumental in driving Osano forward by bringing our suite of products to a new generation of customers. We’re an energetic, kind, and intentional team looking for our next leader to enthusiastically support Osano’s products, people, ideals, and values. Responsibilities Revenue Leadership Design and execute quarterly and annual sales plans. Support the sales team with prospect meetings, presentations, and negotiations. Conduct weekly forecast reviews and quarterly progress review sessions. Own your team's quarterly quota, designing and deploying strategies to achieve it. Manage productivity, opportunities, and quality to ensure teams meet/exceed established goals and provide a delightful customer experience. Make ongoing process improvements, recommendations, and implementation of systems that will make our team more efficient. Be a strong cross-functional partner to Sales Enablement, Product, Marketing, & Customer Success. Team Development Embody inclusive, servant leadership and nurture coach individuals at all levels to success. Hire, mentor, and develop individuals to bring intellectual curiosity, resilience, and resourcefulness to their roles. Provide feedback + focus your team of account executives. Collaborate with the People team on hiring and development to ensure a diverse team that’s exceeding expectations. Coach team members on sales acumen, product positioning, forecasting, and deal-level execution. About You You have 2-5  years of experience managing + leading a team of Account Executives, plus your own experience as an Account Executive (or a similar role), in an enterprise SaaS environment. Ideally, you have some experience in governance/risk/compliance technology, legaltech, cybersecurity, or similar technical sales environments. However, this is not a requirement. You’re a team player willing to get in the trenches with your team. You are familiar with MEDDPICC, Challenger, and/or Force Management methodologies. You possess excellent communication skills and have no problem managing expectations at various levels in a 100% remote office environment. You’ve successfully built, grown, and led a sales team, including hiring early-stage talent. You thrive in fast-paced, remote environments and have a way of nurturing early-career talent to do the same. This means being empathetic, proactively communicating, and bringing ingenuity and initiative to your every day. You’re customer-focused and bring examples of how you’ve identified + responded to internal and external customer needs. You recognize opportunities and initiate actions to capitalize on𑁋You’re always looking for new ways to make an impact. You’re an innovative thinker; you embrace and champion new ideas and encourage others to do the same. You build strong relationships and convey a deep concern for all employees. You ensure individual needs + those of Osano are met and thoughtfully communicate up and down. Why Us A well-defined career path that’s not just “climbing the ladder” - learn different competencies, skills, and concepts as you progress and get recognized for it. Supportive leadership and peers - from sales engineering and product marketing to sales development and demand generation - you’re never in this alone. You’ll be stepping into a space that’s on fire – the privacy and regulatory landscape is only growing with a ton of opportunity in front of us. You’ll become a privacy expert, including the opportunity to receive your Certified Information Privacy credential. You’ll be representing a product that makes prospects say, “This is so awesome” when you demo it. Benefits Competitive compensation + ownership interest for early stake in our success! Unlimited paid time off with a requirement to take at least two weeks off per year. We're continuously a Best Place for Working Parents and offer paid parental leave for all new parents + believe that family, however you define it, comes first. Osano sponsors individual premiums for base plans at 100% and dependent premiums at 50% for Medical, Dental, and Vision Insurance via Aetna. A fully, permanently remote company so you can work from anywhere in the U.S. Receive a Macbook + $600 to craft your home workspace Annual company trip designed to foster connection, creativity, and having fun together! Mental health benefits with free memberships to mindfulness + talk therapy services A Bit More About Osano Osano is a leading data privacy platform that helps organizations quickly and confidently comply with laws like GDPR, CCPA, and other global privacy regulations. From consent management to vendor risk monitoring, Osano makes complex privacy tasks refreshingly simple, so companies can focus on what they do best, while we handle the rest. We’re backed by top-tier investors including Baird Capital, Jump Capital, and LiveOak, and we’re scaling fast with a multi-year runway and ambitious growth plans. We’ve also been recognized as a Great Place to Work for four years running, with 97% of employees saying Osano is a great place to work. As we grow, we're looking for individuals who lean into modern technologies and smarter systems to drive efficiency, clarity, and speed; both in our product and in how we operate. If you're excited by the idea of helping build a high-growth, privacy-first company that embraces thoughtful automation, emerging tech, and intentional collaboration, we’d love to hear from you. Osano is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, genetic information, disability, veteran status, or any other characteristic protected by applicable law.

Location: New York, NY Workplace: Hybrid ABOUT THE COMPANY Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. OUR ETHOS We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the Role AI agents are already booking travel, subscribing to software, running procurement end to end, and moving money on behalf of users — much of it through Rain. Our Agent Control Layer is the governing surface for that activity: it enforces approved counterparties, amounts, merchants, and task scope at initiation, before a transaction ever occurs, rather than reconciling damage after the fact. We are hiring a Senior Product Manager to own that platform. This is a 0-to-1 role inside a category being defined in real time. You will own the developer-facing surface — APIs, SDKs, controls, docs — that teams building agents use to give them spending power safely. McKinsey projects $3–$5 trillion in global agentic commerce by 2030. The primitives that make it trustworthy have not been built yet. You will build them. You will report to the Head of Product and work daily with engineering, risk and compliance, network partnerships, and the developers shipping on us. What you'll do • Define the primitives for agent authority: spend scopes, merchant and counterparty allowlists, velocity and amount ceilings, task-bound credentials, human-in-the-loop approvals, and clean revocation. • Own scoped virtual cards for agents — cards provisioned for a single merchant, amount, and task, retired the moment the task completes. • Extend the rest of Rain's stack (wallets, virtual accounts, onramps, offramps, cross-border payments) to agent initiators within the parameters our customers define. • Treat the API as the product. Own endpoint design, error semantics, idempotency, webhooks, sandbox and simulation tooling, SDKs, and reference agents. • Own documentation and the onboarding path with the same rigor as the product itself. Time-to-first-authorized-agent-transaction is your metric. • Run a tight design-partner loop with agent builders — read their integration code, sit in their debugging sessions, ship against what you find. • Build the roadmap from first principles: form a thesis on where agentic commerce goes next, sequence bets accordingly, and kill what isn't working quickly. • Partner with risk and compliance on Know Your Agent — agent identity, attestation, delegated authority, auditability, and dispute handling in a world where the cardholder wasn't the one who clicked. • Represent Rain's technical point of view in Agentic Payments Alliance working groups and with Visa, Mastercard, and stablecoin partners as standards take shape. • Write the specs, launch posts, and positioning that teach the market what controlled agentic payments actually means. You’ll likely succeed if you have • 8+ years in product management, with meaningful time on a developer-facing platform, API, or infrastructure product. You have shipped something engineers chose to build on. • Technical depth. You read API diffs, write your own queries, prototype against your own endpoints, and hold your own in an architecture review. You don't need to have been an engineer; you do need engineers to take you seriously. • 0-to-1 instincts. You have taken a product from a blank page to real usage in an ambiguous market, and you're comfortable with a roadmap that changes because the ground moved. • Payments or fintech fluency, or the obvious appetite to acquire it fast. Authorization flows, issuing, interchange, chargebacks, settlement, KYC/KYB - you know these, or you'll learn them in weeks rather than quarters. • Judgment under risk. Every control you design trades capability against loss. You can reason about that tradeoff explicitly and defend where you landed. • Strong writing. At Rain, specs, docs, and launch narratives are the job, not overhead. • Bias for motion. You would rather ship a narrow thing this month and learn from it than scope a broad thing for two quarters. Bonus attributes • Hands-on experience building or deploying AI agents - tool use, orchestration frameworks, MCP, evals. • Stablecoin or onchain payments background: settlement, custody, treasury operations, or wallet infrastructure. • Experience working directly with card networks, issuing processors, or sponsor banks. • Time at an early-stage company during a period of fast scaling. THINGS THAT ENABLE A FULFILLING, HEALTHY AND HAPPY EXPERIENCE AT RAIN: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Video is where multimodal models are weakest and hardest to grade. Temporal reasoning, long-form understanding, grounding events in time, and holding audio, video, and text together do not fall out of image benchmarks — and the evaluations for them are still immature. Closing that gap is gated as much by how we design data and evaluation as by architecture. Innodata builds that data and those evaluations for the customers and frontier labs advancing video and multimodal models, and we are hiring a Research Scientist to own the science behind it. You will partner directly with the customers and frontier labs building video understanding, video-language, and video-generation models, as interested in the data behind them as in the models themselves. Video spans two model families judged in completely different ways: models that understand video — answering questions, localizing events, grounding language in time — where the question is whether the answer is correct; and models that generate it, where fidelity, temporal coherence, and physical plausibility matter and no automatic metric is settled. You own the evaluation science for both, and knowing when model-based scoring can stand in for a human versus when it can't. Your conclusions shape what our partners measure and collect next. What You’ll Own: You will define how Innodata designs, structures, and evaluates video data for video and multimodal models, and you will validate those choices experimentally. Concretely, you will: Translate the requirements of video and multimodal models — video understanding, temporal and event localization, action recognition, long-form video, video-language models, video generation, cross-modal reasoning, and multimodal retrieval and grounding — into concrete data specifications: modalities, annotation schemas, sampling, and evaluation criteria. Build evaluation methodology for video understanding — temporal grounding accuracy, long-context and long-horizon reasoning, and dynamic multi-turn, cross-modal, and retrieval-and-grounding evaluation — clear about when model-based scoring is trustworthy and when a human is needed. Build evaluation methodology for video generation — fidelity, temporal coherence, and physical plausibility, including generative video used as a world model — the regime where automatic metrics are weakest and human judgment matters most. Decide how existing and incoming video should be structured, enriched, and sampled to extract the most model value from it, including from messy, domain-specific footage. Run experiments that prove data decisions matter: fine-tune and evaluate models on Innodata data, with ablations tying specific data choices to measurable improvement. Design adversarial and stumping evaluations that surface where video and multimodal systems fail, and turn those failures into better data. Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with. Work with annotation teams, subject-matter experts, and the synthetic-data pipeline to turn specifications into operational collection and labeling plans. You’ll Thrive in This Role If You Have: Roughly 5+ years of hands-on industry experience in video understanding or multimodal ML. We weight practical experience over formal credentials; a PhD with a compelling, current research agenda can offset the lower end. A Bachelor's degree in computer science, electrical engineering, or a related technical or quantitative field is required; an advanced degree (MS or PhD) in a relevant field is preferred. Trained and evaluated video or multimodal models yourself, with strong PyTorch fundamentals. Fluency in the formats and tooling video work runs on: ffmpeg and decord pipelines, temporal and COCO-style annotation, WebDataset, Parquet and Arrow, and HuggingFace datasets. Experience fine-tuning large video or vision-language models with the modern toolchain (HuggingFace transformers, PEFT, efficient inference), and with long-form video, streaming, temporal segmentation, or synthetic video generation. A way of thinking in datasets and benchmarks: you have built evaluation sets, calibrated difficulty, and argued about what makes video data good for a given objective. A track record the field recognizes: first-author publications or strong open-source contributions at venues such as CVPR, ICCV, ECCV, NeurIPS, or ICLR. The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation. Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming — safety and robustness testing for video and multimodal systems. The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Where models actually differ now is robustness across accents, noise, and code-switching; speaker diarization; the naturalness of generated speech; and latency under streaming. Measuring those honestly, and building the data that trains for them, is gated as much by data and evaluation design as by architecture. Innodata builds that data and those evaluations for the customers and frontier labs advancing speech and audio models, and we are hiring a Research Scientist to own the science behind it. You will partner directly with the customers and frontier labs building ASR, text-to-speech, speech-to-speech and conversational voice, diarization, and audio-language models, as interested in the data behind them as in the models themselves. Your work is judgment: which conditions and languages a benchmark must cover to be honest, what a transcription convention should be for a given objective, and when an automated metric can be trusted versus when a human ear is required. You will also partner closely with our transcription and linguistics lead, whose standards directly shape what the models learn. What You’ll Own: You will define how Innodata designs, structures, and evaluates audio data for speech and audio models, and you will validate those choices experimentally. Concretely, you will: Translate the requirements of speech and audio models — ASR, text-to-speech and speech generation, speech-to-speech and conversational voice, speaker diarization and verification, audio-language models, and streaming systems — into concrete data specifications: modalities, transcription and annotation schemas, sampling, and evaluation criteria. Build evaluation methodology that goes past word error rate — semantic accuracy, robustness to noise and accent, code-switching, diarization error rate (DER), naturalness and intelligibility of generated speech, and streaming latency — and know when automated metrics hold and when they don't. Decide how existing and incoming audio should be structured, enriched, and sampled for coverage that fits the model objective — across languages, accents, and acoustic conditions (studio, real-world, telephonic), speaker demographics, emotional and paralinguistic range, scripted versus spontaneous speech, and single- versus multi-speaker settings, including low-resource and code-switched speech. Partner with the transcription and linguistics lead to turn model objectives into transcription specifications, and to quantify how transcription conventions and quality move ASR and speech-model results. Partner with the audio solutions and engineering team so the audio we collect is built for the model objective: you specify what good data and evaluation require, and they scope programs with customers and capture audio to spec. Run experiments that prove data decisions matter: fine-tune and evaluate models on Innodata data, with ablations tying specific data choices to measurable improvement. Design adversarial and stumping evaluations — noisy, accented, and adversarial audio — that surface where speech systems fail, and turn those failures into better data. Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with. Work with annotation teams, subject-matter experts, and the synthetic- and augmented-audio pipeline to turn specifications into operational plans. You’ll Thrive in This Role If You Have: Roughly 5+ years of hands-on industry experience in speech or audio ML. We weight practical experience over formal credentials; a PhD with a compelling, current research agenda can offset the lower end. A Bachelor's degree in computer science, electrical engineering, or a related technical or quantitative field is required; an advanced degree (MS or PhD) in a relevant field is preferred. Trained and evaluated speech or audio models yourself — ASR, TTS, speech-to-speech, speaker, or audio-language models — with strong PyTorch fundamentals. Fluency in the toolchains and metrics speech work runs on: ESPnet, NeMo, SpeechBrain, or Kaldi, HuggingFace, forced alignment, and WER/CER and the metrics that go beyond them. Hands-on experience with multilingual, accented, dialectal, low-resource, or code-switched speech, and with synthetic or augmented audio (TTS pipelines, noise and room-response simulation). A way of thinking in datasets: you have built evaluation sets, reasoned about coverage across conditions, and argued about what makes speech data good for a given objective. A track record the field recognizes: first-author publications or strong open-source contributions at venues such as Interspeech, ICASSP, ASRU, SLT, or NeurIPS. The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation. Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming — for example spoofing and voice-cloning robustness, or bias across accents and languages. The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Progress in physical AI is gated as much by data design as by model architecture. The best manipulation and locomotion policies, vision-language-action models, and world models are only as good as the trajectories, demonstrations, and environments they learn from — so the highest-leverage decisions are made long before a model trains: what to capture, what to synthesize, how to represent an action, and how to know whether any of it will transfer to a real robot. Innodata is building the data and evaluation practice behind the next generation of robotics foundation models, in direct partnership with the customers and frontier labs defining that frontier. We are hiring a Research Scientist to own the science of that data. You will partner directly with the customers and frontier labs building robot foundation models, as interested in the data those models learn from as in the models themselves. Your leverage is scientific judgment about data: deciding what is worth capturing in the real world versus generating in simulation, how to weight a training mix across embodiments and sensors, and how to measure whether a policy will hold up outside the lab. Your conclusions will shape what our partners collect next. What You’ll Own: You will define how Innodata designs, structures, and evaluates data for robot foundation models, and you will validate those choices experimentally. Concretely, you will: Translate the requirements of robotics foundation models — vision-language-action models, world models, and manipulation and locomotion policies — into concrete data specifications: modalities, action representations (tokenization, chunking, diffusion and flow-matching action experts), sampling, annotation schemas, and evaluation criteria. Decide what is worth capturing in the real world versus generating in simulation, and curate and weight training mixes across heterogeneous robot datasets that span different embodiments, action spaces, and sensor setups. Guide collection across capture modalities — motion capture, egocentric, exocentric, teleoperation, and multi-sensor — and across synthetic pipelines, so that what we produce maps cleanly to model needs rather than accumulating for its own sake. Build evaluation and benchmarking methodology that predicts real-world transfer — coverage, discriminative power, reliability, and sim-to-real fidelity — including world-model evaluation (rollout quality and action-conditioned prediction) and the domain-randomization and system-identification choices that close the sim-to-real gap. Run the experiments that prove it: fine-tune and evaluate foundation models on Innodata data, with data-quality ablations and scaling studies that demonstrate specific data decisions produce measurable model improvement. Design adversarial and long-horizon evaluations that surface where policies and world models break, and turn those failure modes into better data. Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with. Collaborate with the capture lab, annotation teams, and the synthetic-data pipeline to turn specifications into operational collection and labeling plans. You’ll Thrive in This Role If You Have: Roughly 4+ years of hands-on industry experience in robot learning or robotics ML. We weight practical experience over formal credentials; because the field is young, a PhD with a compelling, current research agenda can offset the lower end, and we will also consider very senior candidates with the right background. A Bachelor's degree in computer science, electrical engineering, robotics, or a related technical field is required; an advanced degree (MS or PhD) in a relevant field is preferred. Trained and evaluated robot policies yourself — manipulation or locomotion via imitation learning or reinforcement learning — with strong PyTorch fundamentals. You build and measure models, you don't just call them. A way of thinking in datasets: you have curated, filtered, and weighted robot data across embodiments and sensors, and you have real opinions about what makes it good for a given objective. Fluency in robotics data formats and standards — the LeRobot dataset format, RLDS, and Open X-Embodiment — along with common motion and sensor formats. Hands-on experience with simulation and synthetic data — NVIDIA Isaac Sim, Isaac Lab, and Omniverse, or MuJoCo and comparable engines — including domain randomization, system identification, and sim-to-real transfer. Experience with teleoperation or egocentric data collection, and comfort adapting VLM backbones for control and fine-tuning large VLA models with the modern toolchain (HuggingFace transformers, PEFT). A track record the field recognizes: first-author publications or strong open-source contributions at venues such as CoRL, ICRA, IROS, RSS, or NeurIPS. The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation. Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming for embodied systems, for example safety and robustness testing. The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Providence, New Jersey 07504 📍 Location: Providence, NJ 🕒 Schedule: Monday to Friday, 3:30 PM to 8:30 PM, flexible 🏠 Setting: 1:1 in-home ABA therapy About the role LBAPS is seeking a Registered Behavior Technician (RBT) for a 1:1 in-home case in Providence. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Active Registered Behavior Technician (RBT) credential ✅ Patience and a warm, positive approach ✅ Ability to follow a treatment plan ✅ Comfort with active, hands-on sessions What we offer 💰 $20–$30 per hour 🕒 Monday to Friday, 3:30 PM to 8:30 PM, with flexible timing 📩 Apply today to be considered.