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Opportunity Overview: As a Lead Applied Scientist, you’ll join our growing team of world-class applied scientists and clinical experts to deploy machine learning models that help automate burdensome administrative clinical practices. Our AS team’s work is focused on designing, prototyping, and partnering with AI Engineering to deploy and monitor production models which extract or predict relevant clinical findings from structured and unstructured data sources. What you’ll do: Design and develop advanced machine learning algorithms for retrieval, classification and generative use cases. Write and maintain reusable codebases to perform data preprocessing, model training, and model evaluation Provide scientific and machine learning best practice guidance to junior engineers Work cross-functionally with diverse stakeholders, including product managers, clinicians, and technical leadership to align ML solutions with Cohere’s core objectives. What you’ll need: Must-haves Minimum 7+ years of experience in applied ML with a masters degree or 5+ years with a PhD, ideally in a senior or lead role in a large technology or healthcare company Clear understanding of model building, model maintenance and the measures that optimize models for production use Understand experimental design and can independently perform collection, measurement, and interpretation of results Expert in Python with experience in deep learning frameworks (e.g., PyTorch) Hands on experience building deep learning models (e.g., transformers) for NLP tasks MS or PhD required Nice-to-haves Experience with generative AI or Retrieval Augmented Generation (RAG) Experience working with unstructured healthcare data (e.g., clinical notes) Experience with OCR or image-based document understanding techniques Hands on experience using AWS tools such as SageMaker Studio ISMS roles and responsibilities Good knowledge of Information practices. Assist the manager in all the information security activitie

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role Elastic, the Search AI company, is looking for a high-energy Enterprise Account Executive to drive net-new revenue and expansion within strategic Enterprise accounts. You’ll be the owner of a defined territory where you’ll build your own pipeline, tell the Elastic Search AI story, and close complex, multi-stakeholder deals in a consumption-based model. This role sits at the intersection of sales execution, technical fluency, and cross-functional collaboration—and is critical to our growth in the Enterprise segment. What You Will Be Doing Own your territory & build pipeline: Develop and execute a proactive outbound cadence (email, call, social) that generates ≥50 % of your booked opportunities. Deep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals. Value storytelling & demos: Craft and deliver tailored narratives and live demos that map Elastic’s Search, Observability, and Security capabilities to measurable business outcomes. Mutual deal strategy & forecast accuracy: Collaborate with customers to build formal close plans and keep your CRM up-to-date, maintaining ≥90 % forecast accuracy within ±10 %. Executive negotiation & closing: Lead high-stakes contract and pricing discussions—defend your va

About the Team The AI Deployment Management (ADM) team enables organizations to turn OpenAI products into real, sustained impact through world-class services execution. Our mission is to help customers successfully adopt and operationalize AI across their organizations. We partner with enterprises to translate the potential of OpenAI’s technology into durable capability - through structured training, technical enablement, and services. By helping customers move from experimentation to production, the ADM team accelerates time-to-value, deepens product adoption, and helps make OpenAI indispensable to how organizations work. About the Role The AI Deployment Manager role is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering enablement experiences that support a repeatable adoption framework, driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise and Agents. This role blends strong product fluency, instructional design, and customer advisory. You will lead live workshops, deliver services, and design adoption interventions for audiences ranging from everyday business users to technical practitioners and executive leaders, helping customers understand not just what OpenAI’s products can do, but how to apply them effectively in real world workflows. Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate product features into tangible outcomes across teams and business functions. You will own outcomes related to activation and sustained usage by shaping how enablement drives measurable customer impact. This role is based in our San Francisco office. We use a hybrid work model of 3 days in the office per week

ABOUT THE PRODUCT MANAGER ROLE: WIN is looking for a Product Manager to join our growing team in India. You will work at the intersection of AI, operations, data, and customer experience to build scalable, high-impact products across internal and customer-facing platforms. This is not a Scrum Master or delivery coordination role. This role requires a strong product mindset - someone who can identify opportunities before the market does, translate ambiguity into structured systems, and build products that fundamentally change how people work. You will work across AI-powered workflows, inspection operations, data intelligence, and platform thinking to create products that drive real business outcomes and long-term value. KEY RESPONSIBILITIES: ● Define and drive product strategy for internal and customer-facing platforms ● Identify product opportunities across AI, automation, analytics, and workflow optimization ● Translate complex and ambiguous business problems into structured product solutions ● Collaborate with engineering, design, operations, and leadership to shape product roadmap ● Build scalable product systems and frameworks instead of one-off feature solutions ● Prioritize initiatives based on impact, adoption, and business outcomes ● Leverage data, user research, and experimentation to deeply understand user behaviour ● Drive execution with clarity and ownership without acting as a project coordinator ● Design AI-first product experiences rather than simply adding AI features ● Focus on long-term product value including adoption, retention, efficiency, and ecosystem growth REQUIRED QUALIFICATIONS: ● 4+ years of experience in Product Management or Product Ownership in a product-driven company ● Strong understanding of APIs, system integrations, and platform architecture fundamentals ● Familiarity with AI/LLM workflows and their practical applications in products ● Experience with product analytic

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Role Summary The Senior Engineer in Wet Process Development supports the rapid deployment of advanced NAND technology nodes by developing and optimizing wet processes, improving process margins, and troubleshooting yield and quality issues in close partnership with Process Integration and other process areas. Responsible for defined workstreams within a wet process module and deliver experiment execution and analysis with increasing independence. Also c ontributes to margin improvement and manufacturability readiness through structured DOE/SPC and cross ‑ functional problem solving. Main Responsibilities Process Development & Margin Improvement Develop and<

*]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:2dd7681d-dccf-4d05-ade4-b351e5682e72-9" data-testid="conversation-turn-20" data-scroll-anchor="false" data-turn="assistant"> Job Title: Adult Neuro Rehab Speech and Language Therapist Banding: Band 6/7 Location: Gloucester Start Date: ASAP Duration: Permanent Salary: Up to £45,996 per annum Working Hours: Up to full time Job Overview We are currently seeking an experienced and motivated Adult Neuro Rehabilitation Speech and Language Therapist to join a specialist neurological centre in Gloucester. This is a permanent opportunity within a 60-bed service providing dedicated support for individuals with complex, long-term neurological conditions requiring ongoing rehabilitation and care. The centre delivers 24-hour nursing and therapy input, with a strong focus on slow-stream neuro rehabilitation. The emphasis is on maximising each individual’s functional abilities, comfort, and overall quality of life through structured, person-centred therapeutic input. This role would suit a Band 6 or Band 7 clinician with experience in neuro rehabilitation who is passionate about long-term rehabilitation and multidisciplinary working. Sponsorship is available for eligible candidates. Key Responsibilities In this role, you will: • Provide specialist Speech and Language Therapy assessment, diagnosis, and intervention for adults with complex neurological conditions. • Deliver individualised rehabilitation programmes focused on communication and swallowing needs. • Contribute to slow-stream neuro rehabilitation pathways, supporting long-term functional improvement and quality of life. • Work collaboratively within a multidisciplinary team including nursing, ph

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the role We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search. Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorit

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job / Role Summary The Senior Engineer supports advanced NAND dry etch process development by improving process windows, optimizing recipes, and troubleshooting yield/quality issues in collaboration with Process Integration and other module teams. The role requires strong experimental discipline (DOE/SPC), structured problem-solving, and the ability to translate technology requirements into production-worthy process improvements. Main Responsibilities Perform advanced dry etch process development tasks including process window analysis, recipe optimization, and tool continuous improvement evaluation for 3D NAND technology. Troubleshoot process issues as part of cross-functional teams to improve yield and quality and take ownership of assigned impro

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Role Summary The Senior Engineer in Wet Process Development supports the rapid deployment of advanced NAND technology nodes by developing and optimizing wet processes, improving process margins, and troubleshooting yield and quality issues in close partnership with Process Integration and other process areas. Responsible for defined workstreams within a wet process module and deliver experiment execution and analysis with increasing independence. Also c ontributes to margin improvement and manufacturability readiness through structured DOE/SPC and cross ‑ functional problem solving. Main Responsibilities Process Development & Margin Improvement Develop and<

About the role As a Customer Success Engineer at Together AI, you will serve as the named technical owner for one of our most strategic customer relationships. You will be the primary technical point of contact across all infrastructure domains — compute, networking, storage, and facilities — ensuring flawless delivery and operational health of large-scale GPU deployments. This role sits at the intersection of deep infrastructure expertise and high-stakes customer partnership, making you a critical driver of both customer success and company growth. Responsibilities Serve as the named technical point of contact for a dedicated strategic customer, owning the end-to-end technical relationship across compute, networking, storage, and facilities Drive structured engagement through regular cadences — status reporting, technical steering meetings, quarterly business reviews (QBRs), and executive business reviews (EBRs) — spanning both operational and strategic levels Translate customer operational feedback into actionable input for Engineering, Product, and Infrastructure roadmaps Lead issue lifecycle management, escalation, and RCA authorship across all infrastructure domains in partnership with Support, SRE, DC Ops, and Engineering teams Own end-to-end RMA coordination and hardware lifecycle management, including acceptance testing, spare inventory management, and hardware health reporting for large-scale GPU deployments Maintain deep technical expertise across the customer's infrastructure stack — GPU compute, high-speed fabric, and large-scale storage systems — advising on configuration, operational best practices, and incident resolution Own the observability strategy for the customer estate, including alert policy definition, dashboard development, and proactive health management across all infrastructure layers Coordinate DC operations and facilities events in partnership with internal teams and hosting providers, ensuring SLA compliance and cluster availability Ac

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. Role Overview Elastic is looking for a high-energy, mission-driven Public Sector Account Executive to build greenfield white space and drive land-and-expand growth across Western Canada. Seeking candidates from Vancouver, Calgary or Edmonton. You will be responsible for a strategic territory that includes Provincial Government, Crown Corporations, Municipalities, Higher Education, and Health Authorities. In this role, you will act as a trusted advisor to Director and CIO-level executives , establishing new relationships from scratch while expanding our consumption-based cloud model and self managed modelacross the region. Sitting at the intersection of executive sales execution, technical fluency, and public sector strategy, y

Title: Senior AI QA Engineer Location: Bengaluru (Bangalore) Opportunity: As a Senior AI QA Engineer for our Precision Patient Care Pipeline , you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies . Key Responsibilities: Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations. Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics). Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity. Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation. Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics. Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior. Requirements: 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation. Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems. AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, an

Location Qualifications: This role is available for hybrid work (2 days on-site) from our office in Bucharest. About the position Our data platform powers customer-facing embedded analytics that thousands of users rely on daily. But we're going further: Showpad is building a Revenue Intelligence engine that transforms raw signals — CRM data, email threads, call transcripts, and content engagement — into prescriptive AI guidance. You will be a foundational architect of the unified data intelligence layer that makes this engine possible. You will participate in the design of our Medallion architecture, star schemas, and data governance frameworks — and critically, you will help define how structured and unstructured knowledge is modeled, connected, and retrieved. Your goal is to build a platform so robust and intuitive that other teams are empowered to build high-quality downstream models with speed and autonomy. What You’ll Do Shape how we model and connect revenue data — accounts, deals, contacts, content, and engagement signals — across both structured and semantic layers Design and evolve the ontology that defines how entities relate, enabling relationship-aware reasoning beyond what traditional joins can offer Build and maintain a Knowledge Graph that supports multi-hop inference and entity disambiguation across our Revenue Intelligence engine Own our retrieval architecture — choose the right approach for each use case, whether that's RAG, vector similarity, graph traversal, or structured search Define how we ground LLM outputs in proprietary data, ensuring AI features are accurate, explainable, and production-ready Contribute to our Medallion architecture, star schemas, and data catalog, keeping the foundation solid as we scale Ensure our embedded analytics meet the demands of multi-tenant isolation, sub-second latency, and strict SLAs for white-labeled products Be a go-to resource for cross-functional teams — setting standards, reviewing models, and helping oth

Compensation: $60,000-$70,000 + bonus. This role preferred a minimum of two days a week onsite at our Boston, MA office. About the Role The Research Interviewer role, within the New Product Development team, will primarily support qualitative data collection efforts, conducting 10-20 structured interviews with senior security executives per week. This is a research role, not a call-center role, and you will lead interviews following established protocols, and is a key contributor to IANS data collection efforts. Core Responsibilities Interview Coordination & Scheduling (~50% of time) Manage an assigned caseload of cybersecurity executives, lead outreach and recruitment, scheduling, and note-taking review (AI tools will supplement) Use IANS resources (such as account managers) to reach executives on caseload, ensuring outreach is proactive and timely Maintain a master tracker of interviews completed and flag coverage gaps to Director in advance of target deadlines Conducting Interviews & Data Review (~50% of time) Conduct 10-20 (30 or 60-minute structured interviews online via Zoom, Teams) per week Adhere to the established interview protocol, showing judgment for using probing Ask intelligent, probing follow-up questions when responses are vague, surface-level, or inconsistent Record all interviews (with consent) and capture real-time notes during the call to supplement the automated recording and transcription Edit and process verbatim quotes from interview recordings: remove filler words (e.g., “um,”), fix grammar, and ensure quotes are fully coherent and attributable — while preserving the interviewee’s authentic voice Proactively flag data quality issues for Director, and ensure all data is properly tagged for later review and integration into the data stream Requirements: Must-Haves: 5 years of relevant expe

Job Description: Fintech Learning Consultant Company: Paytm Location: India (Open to Pan-India Travel) Experience Required: 5 to 15+ Years Employment Type: Full-Time / Contractual / Part-time About Paytm Paytm is India's leading digital ecosystem for consumers and merchants. We are redefining how people access financial services and how businesses grow through technology. As we expand our fintech footprint, we are investing in cutting-edge education, training, and innovation to upskill the future workforce. Role Overview We are seeking a seasoned Learning Consultant - Fintech to join our team in a full-time capacity. This role is ideal for a fintech domain expert who combines deep subject matter expertise with strong communication and content design skills. The individual will play a pivotal role in bridging industry practice with structured learning, working at the intersection of fintech innovation, academic collaboration, and capability development. Key Responsibilities Training & Enablement: Design and deliver high-impact training sessions for external partners and student cohorts at universities and colleges, enabling a strong understanding of fintech platforms, products, and emerging technologies. Research & Trend Analysis: Continuously track global fintech trends, regulatory developments, and technological advancements; translate these insights into relevant, future-focused learning interventions. Product & Business Support: Collaborate with product and business teams by providing domain expertise across the fintech lifecycle—including ideation, design validation, testing, and go-to-market readiness. Content Development: Develop structured, outcome-driven learning content including curriculum frameworks, case studies, playbooks, and technical guides tailored to diverse learner segments. Required Skills & Tools Must-Have: Strong verbal and written communication with the ability to translate complex concepts into understandable learning modules. Good to Ha