Structured Finance Sr Manager Jobs

Become a part of our caring community Most AI engineering jobs are a thin wrapper around a model API. This role is different. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations back to the source document, and route ambiguous cases to human experts for review. Our users make decisions that impact real healthcare outcomes, so “good enough” is not good enough. Building AI systems that are accurate, reliable, auditable, and scalable is at the core of this role. As a Senior AI Applied Engineer, you will design, build, deploy, and operate production AI systems used at scale within one of the largest health insurers in the United States. You will own solutions end-to-end, from user experience and APIs to model orchestration, evaluation frameworks, infrastructure, and production operations. Why Join Us Build production AI systems where LLMs are in the critical path, not just demos or proofs of concept. Work on extraction, retrieval, agentic workflows, and human-review systems that process real healthcare data at scale. Own projects end-to-end across frontend, backend, AI orchestration, infrastructure, deployment, and operations. Solve challenging problems around accuracy, explainability, traceability, and reliability in regulated environments. Ship quickly in a small, high-impact team that embraces AI-assisted development and rigorous quality standards. Build systems that continuously improve through expert feedback, evaluations, and human-in-the-loop workflows. Key Responsibilities Design, develop, and deploy full-stack AI-powered application

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 As a Public Sector Account Executive focused on Defence, the Ministry of Home Affairs (MHA), and Space Agencies , you will play a strategic role in expanding Elastic’s presence across India’s most mission-critical government institutions. You will build trusted relationships with senior stakeholders in government, defence, security, intelligence, and space. You will also gain a deep knowledge of their challenges related to operations, security, and data. In this role, you will lead the entire sales process. This means finding strategic opportunities and building relationships with executives. You will shape solutions and create account strategies. Additionally, you will drive complex deals that involve multiple stakeholders. You will showcase Elastic’s features in Search, Observability, Security, SIEM, AI, and intelligent data platforms. This will help government organisations gain real-time visibility. It will also strengthen their ability to withstand cyber threats, accelerated up mission results, and unlock value from their data. You need to have a solid knowledge of the Defence, Homeland Security, Law Enforcement, Intelligence, and Space sectors. You should be able to interact with CXOs, senior government officials, technical leaders, and strategic partners. What You Will Be Doing Build and manage strategic rela

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 are actively looking for a marketing professional to assist regional marketers in planning, execution, and roll-out of a high quantity (and quality) of Elastic programs in The Americas. The marketing coordinator will work closely with their respective regional marketing managers and other members of the marketing organization to deliver high quality campaigns with measurable metrics. Programs include virtual and live campaigns, partner related activities, third party conferences and much more. This role requires a combination of strong planning, organizational, and execution skills to efficiently plan, develop, execute and measure field activities to deliver marketing contribution to the sales and partner pipeline. What You Will Be Doing Programs: Help drive demand creation and lead generation activity in developing qualified marketing leads and crafting brand awareness activities. Assist in sourcing suitable venues for regional marketing programs and lead program coordination of campaigns within region. Craft targeted plans to meet marketing goals, including but not limited to field events, account-based marketing, executive programs, trade-shows, tour stops, etc. Administrative: maintain marketing calendar, regional budget, research/execute third-party conferences and collect information for relevant programs across the regi

ACS 3LS Quality Engineer - Workstation Products Description - Job Summary The ACS Third-Level Support (3LS) Quality Engineer serves as a senior technical expert responsible for leading the investigation and resolution of complex customer escalations across HP products and solutions. This role requires deep technical expertise, strong analytical and troubleshooting skills, and the ability to collaborate effectively with engineering, quality, manufacturing, and product management teams. The successful candidate takes end-to-end ownership of critical issues, drives root cause identification and corrective actions, communicates effectively with technical and executive stakeholders, and continuously develops expertise in emerging technologies to deliver exceptional customer outcomes. Responsibilities Lead the investigation and resolution of highly complex technical issues affecting customers, partners, and business-critical environments. Own escalated cases from initial engagement through final resolution, ensuring accountability throughout the entire problem-solving process. Perform advanced troubleshooting using a structured, data-driven approach to isolate root causes and validate solutions. Partner with engineering, quality, manufacturing, product management, and external vendors to drive corrective actions and long-term solutions. Build and maintain subject matter expertise in one or more strategic technologies, platforms, or product areas. Analyze logs, traces, diagnostics, and customer environments to identify systemic issues and trends. Develop technical recommendations and communicate complex concepts clearly to both technical and non-technical audiences. Create and maintain detailed technical documentation, investigation findings, and knowledge assets. Influence cross-function

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Process Technician, you will support wafer manufacturing by monitoring operations, reviewing data, applying structured problem-solving, and partnering across engineering, manufacturing, and production teams to enhance yield, quality, and efficiency . RESPONSIBILITIES Monitor process and equipment performance using SPC charts, dashboards, alarms Manage semiconductor equipment, perform technical evaluations, recognize abnormal conditions and resolve issues Follow defined troubleshooting and escalation paths Partner with Engineering to improve and stabilize processes Collect and document production and process data to analyze and interpret using computer-based systems Prepare data visualizations to surface yield and process trends Partner and collaborate with teams (Process Engineering, Manufacturing, Quality) <d

Job Title: SVP of Partnerships Location: Santa Clara, CA (4 days onsite) Compensation: $400,000-$500,000 OTE About the role: We are looking for an experienced SVP of Partnerships to take Eltropy's partner ecosystem to the next level across the Financial Services industry. We have a solid foundation today — established integration partner relationships and early reseller momentum — and this leader will bring the structure, strategy, and executive relationships needed to scale it into a significant growth engine. This includes deepening our presence with major FinServ platforms and expanding our early-stage partner marketplace into a mature, high-volume channel. This role is based at our Santa Clara, CA headquarters, with an in-office expectation of 4 days per week. Role & Responsibilities: Reseller Network Expansion: Scale our existing reseller relationships into a structured network capable of driving $100M+ in annual revenue, extending our reach with major FinServ platforms such as Fiserv, FIS, Jack Henry, and Microsoft Executive Relationship Development: Establish and deepen relationships at the executive level within large partner organizations, including key platforms where we don't yet have a presence today Partner Program Maturation: Bring structure and process to our partner ecosystem — including consulting partners, referral partner programs, and integration partners — and grow our early-stage partner marketplace into a robust, well-populated channel Team Leadership: Build on our current team and grow it as scope expands, establishing clearer structure, goals, and accountability Cross-Functional Alignment: Partner closely with Sales, Product, and Marketing leadership to ensure our expanding partnership strategy is integrated into broader company go-to-market plans Qualifications: The ideal candidate will be a relationship-driven, strategic operator with deep Financial Services expertise and a track record of scaling partner-driven revenue, who thrives in

The AI Development Strategist will report directly to vertical sales leadership and will play a critical role in generating and qualifying pipeline across Scale AI’s enterprise business. This is an education-focused, customer-facing role responsible for owning early-stage enterprise opportunities through Stage 2 qualification while helping prospective customers understand Scale AI’s capabilities, AI infrastructure offerings, and output methodology. This role is designed as a bridge into strategic enterprise AI sales and is ideal for experienced outbound or mid-market sales professionals looking to transition into enterprise AI sales. Unlike traditional SDR roles, this position is structured as a closing-capable role with meaningful ownership over customer engagement, qualification strategy, and pipeline generation. You will partner closely with Enterprise Account Executives and cross-functional teams to identify high-potential opportunities, educate customers on AI use cases, and ensure strong opportunity transition into active enterprise sales cycles. In this role, you will: Own outbound prospecting and customer engagement through Stage 2 qualification Drive customer outreach and education during the M1 phase of the sales process Build trust with prospective customers and teach them about Scale AI’s capabilities, AI workflows, and output methodology Lead discovery conversations to identify and qualify high-potential enterprise opportunities Develop key narratives, content, and research through Stage 2 qualification Lead cross-functional coordination, including with Solutions Engineering, Marketing, and GTM Strategy Partner closely with Account Executives to transition qualified opportunities into active deal cycles Develop a strong understanding of enterprise AI deployment patterns and customer use cases Maintain strong CRM hygiene and pipeline visibility using Salesforce and related sales tools Operate effectively within a verticalized sales organization acr

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Adyen is seeking a structured, proactive, and collaborative designer operating within our Global Marketing team. This role will be based in our Amsterdam office and reports directly to the Global Design Team Lead. This Senior Digital Designer role has a strong focus on shaping our digital experiences, especially our website. Collaborating with the Digital Experiences team, you’ll deliver templates and components in line with our website design system, optimized for demand generation, demand capture and engagement on adyen.com. The ideal candidate is systems thinker, used to working with Product Management, Front End Development and UX. Furthermore, this role requires strong project management, stakeholder management skills and coaching skills. What you’ll do Develop high-quality designs for our digital experiences, in line with our design system and adhering to our brand & design guidelines. Conceptualize and create responsive designs for adyen.com . Scope work and assess feasibility through pressure testing with engineering, striking a balance between reusing parts of the design system and creating net new elements. Manage multiple projects concurrently throughout all stages of the design process, from inception to final delivery. Take ownership and accountability for assigned projects, ensuring timelines, and quality sta

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 Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to join the Elasticsearch Performance team. In this role, you will contribute to performance engineering initiatives through high-quality code and technical analysis. Your goal is to help improve the optimization and predictability of Elasticsearch performance, collaborating with area-specific teams to enhance our software. What You Will Be Doing Contributing to core performance engineering initiatives from development to production, focusing on the delivery of impactful optimizations. Executing technical designs and plans for architectural and code-level performance improvements. Implementing foundational performance models and methodologies for complex, distributed systems. Supporting optimization strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments. Profiling and analyzing system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL. Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures. Collaborating with peers across the team to apply performance-focused development practices into new features. Contributing to automation efforts by buil

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 Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to join the Elasticsearch Performance team. In this role, you will contribute to performance engineering initiatives through high-quality code and technical analysis. Your goal is to help improve the optimization and predictability of Elasticsearch performance, collaborating with area-specific teams to enhance our software. What You Will Be Doing Contributing to core performance engineering initiatives from development to production, focusing on the delivery of impactful optimizations. Executing technical designs and plans for architectural and code-level performance improvements. Implementing foundational performance models and methodologies for complex, distributed systems. Supporting optimization strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments. Profiling and analyzing system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL. Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures. Collaborating with peers across the team to apply performance-focused development practices into new features. Contributing to automation efforts by buil

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 Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to join the Elasticsearch Performance team. In this role, you will contribute to performance engineering initiatives through high-quality code and technical analysis. Your goal is to help improve the optimization and predictability of Elasticsearch performance, collaborating with area-specific teams to enhance our software. What You Will Be Doing Contributing to core performance engineering initiatives from development to production, focusing on the delivery of impactful optimizations. Executing technical designs and plans for architectural and code-level performance improvements. Implementing foundational performance models and methodologies for complex, distributed systems. Supporting optimization strategies to ensure Elasticsearch remains performant, predictable, and scalable in diverse environments. Profiling and analyzing system behavior to identify bottlenecks in logging, metrics, vector search, and ES|QL. Ensuring robust performance benchmarks and regression detection for both stateful and stateless (Serverless) architectures. Collaborating with peers across the team to apply performance-focused development practices into new features. Contributing to automation efforts by buil

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 are seeking a Principal Software Developer to join the Elasticsearch Security team. In this role, you will lead the architecture and design of Elasticsearch's main features. These features include authentication, authorization, and tenant isolation. You will work with engineering and product leaders at Elastic. Your goal is to provide high-performance security at all levels. This includes ensuring that our distributed data store has top-quality security at scale. What You Will Be Doing Owning core security initiatives from architecture to production, focusing on the delivery of new critical features. Leading the technical design, plan, and execution for major security components inside the Elasticsearch core engine. Developing the foundational security models for intricate features. Optimizing security performance at scale in distributed systems environments. Applying cryptographic solutions to address genuine customer use cases. Ensuring robust data isolation within shared infrastructure supporting disparate customers. Monitoring and applying the latest advancements and best practices in security. This includes authentication, identity management, cryptography, and data access management. Collaborating with peers across the company to embed security into new customer features from the outset. Drive vulnerability management ef

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 Observability is building a system that monitors production environments the way an expert SRE would: it learns what normal looks like across logs, metrics, and traces, generates its own detection queries, identifies when something meaningful changes, and launches autonomous investigations — without waiting for a human to notice first. The goal is to close the gap between the alert that fires and the answer that matters, at a scale no on-call rotation can match. You will work on the Kibana UI, where Autonomous investigations meet the engineers who rely on them, making agent reasoning legible enough that an SRE can trust it, challenge it, and act on it. You will also work on the context and detection pipelines that turn raw telemetry into structured signals, the analysis that separates noise from events worth investigating, and the multi-agent system that digs into root causes autonomously and drives remediation. What You Will Be Doing You will work across our AI SRE solution. Over time, that will include the following: User-facing surfaces: Build the Kibana interfaces where signals, investigations, and findings reach users: the views an SRE uses to follow an investigation, inspect the evidence behind a conclusion, and drive the remediation that follows. This is most of the work today, though investigations increasingly ne

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 Observability is building a system that monitors production environments the way an expert SRE would: it learns what normal looks like across logs, metrics, and traces, generates its own detection queries, identifies when something meaningful changes, and launches autonomous investigations — without waiting for a human to notice first. The goal is to close the gap between the alert that fires and the answer that matters, at a scale no on-call rotation can match. You will work on the Kibana UI, where Autonomous investigations meet the engineers who rely on them, making agent reasoning legible enough that an SRE can trust it, challenge it, and act on it. You will also work on the context and detection pipelines that turn raw telemetry into structured signals, the analysis that separates noise from events worth investigating, and the multi-agent system that digs into root causes autonomously and drives remediation. What You Will Be Doing You will work across our AI SRE solution. Over time, that will include the following: User-facing surfaces: Build the Kibana interfaces where signals, investigations, and findings reach users: the views an SRE uses to follow an investigation, inspect the evidence behind a conclusion, and drive the remediation that follows. This is most of the work today, though investigations increasingly ne

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 Observability is building a system that monitors production environments the way an expert SRE would: it learns what normal looks like across logs, metrics, and traces, generates its own detection queries, identifies when something meaningful changes, and launches autonomous investigations — without waiting for a human to notice first. The goal is to close the gap between the alert that fires and the answer that matters, at a scale no on-call rotation can match. You will work on the Kibana UI, where Autonomous investigations meet the engineers who rely on them, making agent reasoning legible enough that an SRE can trust it, challenge it, and act on it. You will also work on the context and detection pipelines that turn raw telemetry into structured signals, the analysis that separates noise from events worth investigating, and the multi-agent system that digs into root causes autonomously and drives remediation. What You Will Be Doing You will work across our AI SRE solution. Over time, that will include the following: User-facing surfaces: Build the Kibana interfaces where signals, investigations, and findings reach users: the views an SRE uses to follow an investigation, inspect the evidence behind a conclusion, and drive the remediation that follows. This is most of the work today, though investigations increasingly ne