Customer Experience Systems Senior Associate Jobs

SIXGEN’s mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats. We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital systems, and ensure operational superiority in an ever-evolving digital landscape. POSITION OVERVIEW Position: Senior Data Scientist Job Type: Full-time Location: Onsite, Ft. Meade, MD Clearance Requirements: Active TS/SCI with Polygraph required Work Schedule: 5 days per week onsite Travel Requirements: None Experience: 4+ years WHAT YOU'LL DO SIXGEN supports missions by serving government and commercial organizations as they overcome global cybersecurity challenges. In this position, you’ll provide meaningful support to our customer’s missions and operations. You’ll work alongside a team of highly skilled operators who are dedicated to using innovative processes, tools, and techniques to get things done. KEY RESPONSIBILITIES Develop, and maintain robust and scalable data pipelines for enterprise AI applications including defining appropriate data model concepts Develop high-performance data parsers for extremely large and complex datasets Implement and manage various database systems, including graph, SQL, NoSQL, and vector databases Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize data access and retrieval for AI models Ensure data quality, integrity, and security across all data storage solutions Support the deployment and maintenance of AI applications by providing expert data engineering capabilities Familiarity with AI concepts in the context of data storage, access, and retrieval Continuously optimize data infrastructure for performance, cost-efficiency, and scalability REQUIRED QUALIFICATIONS Bachelor's degree in a relevant technical fi

Become a part of our caring community As a Medical Assistant you will be the first contact for patient care, responsible for administrative responsibilities in addition to patient care. Working onsite in a clinical environment and reporting to the Center Administrator you will perform varied activities and moderately complex administrative, operational, and customer support assignments. Location Address CenterWell Senior Primary Care office located at: 4886 N Dowlen Rd., Beaumont, TX., 77708 You will be reporting to the: Supervisor, Center Administration Job Responsibilities As a Medical Assistant you will perform clinical tasks such as: You will perform pre-visit planning based on patient visit type You will obtain and record medical history and vital signs You will room patients and assist healthcare providers with medical procedures and treatments You will perform specimen collection and point of care testing You will prepare and administer medication under the direction of healthcare provider You will ensure accurate documentation in the electronic health record (HER) and electronic medical record (EMR) systems, including documentation of HEDIS and Stars quality measures Required Qualifications An active Certified Medical Assistant/CMA or Registered Medical Assistant/RMA certification from one of the following organizations: AAH, AAMA, AMT, ARMA, MedCa, NAHP, NAHT, NCCT, or NHA Successful completion of MA school/training program or a Certified/Registered Medical Assistant or 5+ years of experience and approval from Provider High school diploma or equivalent 1+ years of MA experience Phlebotomy experience Medication/vaccine administration ex

NVIDIA Networking team is looking for an outstanding candidate who thrives in a multifaceted environment, to facilitate managing SW Releases for our leading SW products by taking responsibility for cross projects activities. In addition, ensure releases are delivered on time and in high quality, coordinate between development and testing groups and between global SW groups. The role will require to gain good understanding of products’ dependencies. What you’ll be doing: Be an effective leader in crafting and driving a delivery of high quality SW in an efficient way. Collaborate with Engineering, Operations, Architecture and Marketing across the globe to coordinate the release of products and ensure release will meet the schedule and with high quality. In parallel, partner with the QA teams to ensure alignment of all tests between the development, verification and QA groups. Take full ownership of projects from kickoff to signoff. Manage multiple parallel releases with strong attention to detail, ensuring clarity, alignment, and consistent communication across teams while tracking dependencies, milestones, and deliverables. Maintain clear, up-to-date visibility of the release status, ensuring all stakeholders have an accurate understanding of progress, next steps, priorities, and risks at any given time. Support Senior Release Managers with release activities. Own and manage selected cross-products topics (e.g., customer bugs, release checklists, RCAs, Triage, define and improve processes). Conduct release meetings and communicate release status. Resolve issues when they appear and raise red flags when needed. Work with planning and tracking systems to lead the release progress, and build release indicators. What we need to see: Bachelor's or Master’s degree or equivalent experience in Computer Science or industrial Engineering with techn

The Staff Product Manager is an Individual Contributor (IC) product leader responsible for a broad platform surface for Atlas Infinite at MongoDB. Atlas Infinite is the largest architectural innovation in MongoDB Atlas ever, purpose-built to handle today's speed and scale of development and demand. In this position, you will own and solve end-to-end problems around the user experience and database experience of Atlas Infinite, including but limited to feature discovery, activation, monetization, and retention. You will see patterns, opportunities, and risks across areas, own cross-team product and architectural trade-offs, establish reusable standards for PM craft, and align senior stakeholders around multi-year bets. You have deep knowledge of cloud database platforms, distributed data systems, and enterprise product development. You will partner closely with cross-functional engineering leaders, product peers, and executive stakeholders to drive outcomes across organizational boundaries, guiding a portfolio spanning Atlas Infinite's disaggregated compute and storage architecture, production workload readiness, migration and Atlas interoperability, and the new customer experiences this architecture may make possible. You will not inherit a closed list of future features: part of your mandate is to discover opportunities we have not yet articulated and challenge assumptions about which problems matter most. With AWS public preview now live, you will help turn real workload evidence into a credible path to GA and subsequent releases, in close partnership with the existing team. This role can be based out of a MongoDB office or remotely in Canada. Responsibilities Interlinked Vision & Multi-Year Bets: Set and champion a product vision across Atlas Infinite's capabilities, while actively discovering opportunities that are not on today's roadmap or fit any single team's remit. Explore what decoupled compute and storage could make possible for developers, enter

The Staff Product Manager is an Individual Contributor (IC) product leader responsible for a broad platform surface for Atlas Infinite at MongoDB. Atlas Infinite is the largest architectural innovation in MongoDB Atlas ever, purpose-built to handle today's speed and scale of development and demand. In this position, you will own and solve end-to-end problems around the user experience and database experience of Atlas Infinite, including but limited to feature discovery, activation, monetization, and retention. You will see patterns, opportunities, and risks across areas, own cross-team product and architectural trade-offs, establish reusable standards for PM craft, and align senior stakeholders around multi-year bets. You have deep knowledge of cloud database platforms, distributed data systems, and enterprise product development. You will partner closely with cross-functional engineering leaders, product peers, and executive stakeholders to drive outcomes across organizational boundaries, guiding a portfolio spanning Atlas Infinite's disaggregated compute and storage architecture, production workload readiness, migration and Atlas interoperability, and the new customer experiences this architecture may make possible. You will not inherit a closed list of future features: part of your mandate is to discover opportunities we have not yet articulated and challenge assumptions about which problems matter most. With AWS public preview now live, you will help turn real workload evidence into a credible path to GA and subsequent releases, in close partnership with the existing team. This role can be based out of a MongoDB office or remotely in the United States. Responsibilities Interlinked Vision & Multi-Year Bets: Set and champion a product vision across Atlas Infinite's capabilities, while actively discovering opportunities that are not on today's roadmap or fit any single team's remit. Explore what decoupled compute and storage could make possible for develo

We are looking for a highly motivated and results-driven Deal Desk Analyst who is looking to join a fast moving AI empowered product company. The Deal Desk team sits within the Finance organization and works collaboratively across Sales, Customer Success, Legal, Product and other Finance teams to drive deals to closure. In this role supporting our EMEA and East Coast sales teams, you will be responsible for providing top-notch support and guidance to our Account Executives and Customer Account Managers in all aspects of deal structuring, pricing, quote structure creation, negotiation, and contract review. As an Analyst, you not only will be a trusted advisor to the Sales team but also will work closely with senior executive and leadership including the CRO and CFO to ensure deals are optimally managed to their conclusion. General Job Duties & Responsibilities Act as a first point of contact and strategic advisor to the Sales organization on all matters related to pricing / deal economics and structure Collaborate with Finance, Legal, Sales and Operations organizations on complex, non-standard transactions and provide business insights and recommendations regarding pricing and deal structure Internally drive the deal process including the day-to-day aspects of quoting and commercial terms approvals to swiftly and efficiently execute deals Provide regular training to Sales organization on topics related to deal structure and pricing Act as a key stakeholder in projects led by the team to improve systems, tools, and processes Define and assess key business metrics to track deal performance and identify areas of opportunity Minimum Knowledge, Skills and Abilities BA/BS degree in finance, economics, accounting or related field is a plus Minimum of 3-5 years of experience in a pricing, finance, deal desk or analytics role Strong knowledge of Excel, Google Sheets, Salesforce and Salesforce CPQ Deep experience working cross-functionally with multiple interna

About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. The residency The AI Residency is a 6-month builder role, not a research placement. Every engineer at Ema owns delivery end to end — from understanding the customer's problem to shipping, measuring and supporting it in production — and residents are held to the same bar. You won't be parked on one project: you'll contribute across several avenues, all toward one goal — creating real value and impact for our enterprise customers. Real production work. You work in the production codebase, on real customer problems and real production data. Recent residents have shipped agent harnesses, eval infrastructure, inference-cost reductions, PII redaction, automated QA pipelines and backend service hardening used by enterprise customers. End-to-end ownership. You take work from a problem statement to a shipped, measured result — design, build, test, launch, and the follow-through until it's reliable. Mentorship. A senior mentor, weekly 1:1s, regular reviews with your team, and exposure to the founders and engineering leadership. A path to full-time. Top-performing residents are offered full-time roles at Ema. Several of our engineers started as residents. Choose your

AI Engineer - FDE (AI Forward Deployed Engineer) Req ID: CSQ427R333 Preferred locations: Stockholm, Sweden. Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimisations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate

AI Engineer - FDE (AI Forward Deployed Engineer) Req ID: CSQ427R333 Location: Location: Amsterdam, Netherlands - Candidates to be based in the Netherlands region only (no remote working available from any other country) Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTo

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is seeking a Senior Analyst to join our Business Forecast & Planning team within Customer Care Operations. This role sits at the center of forecasting and capacity strategy for our global support organization, translating complex operational and business signals into clear, actionable plans. You'll partner closely with operations leadership to keep resourcing aligned with the business, separating what truly matters from the noise, and helping shape decisions that affect how we staff and scale support. Responsibilities: Support the development and upkeep of the models and frameworks that connect business drivers to staffing and resourcing decisions Translate large, complex, and sometimes ambiguous data into clear, actionable insights that support leadership recommendations Own day-to-day planning execution, from dashboards maintenance and reporting to business reviews, with a sharp focus on accuracy and the details that matter Leverage AI tools to build and maintain dashboards, reports, and analyses that support the team's recommendations and insights Identify and help drive opportunities to improve how the team plans and operates Move quickly on ambiguous, time-sensitive requests, using modern tools to work smarter and faster Experience: 2+ years in planning, forecasting, capacity/resource management, or a related analytical role; consulting, investment banking, FP&A, or ops strategy backgrounds also fit well Sharp analytical mindset with hands-on SQL and Python skills AI fluency, comfortable using AI tools to accelerate analysis and problem-solving Strong business acumen paired with genuine curiosity about how large, complex business systems work; fast learner with a bias towards action, comfortable building context quickly across new systems and stakeholders Self-directed, with a track

AI Engineer - FDE (Forward Deployed Engineer) Req ID: CSQ427R191 Location: London, United Kingdom Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a qua

About the Team The IT Services and Support team is responsible for delivering seamless, efficient, and reliable workplace technology across the organization. We provide frontline IT support, run employee lifecycle operations, support conference rooms and events, manage vendors and assets, and continuously improve systems, documentation, and workflows to strengthen the employee experience as OpenAI grows. About the Role As the EMEA Regional IT Support Lead based in Dublin, you will be the senior onsite IT owner for the Dublin office while serving as the regional lead for IT support across EMEA. You will combine high-quality hands-on support with regional coordination, operational leadership, and process improvement. Your scope includes frontline support, onboarding and offboarding, AV and event readiness, vendor and equipment management, office build and workplace technology support, executive support, and the design of scalable support workflows across offices and time zones. We are looking for someone who is customer-focused, technically strong, and able to operate independently in a fast-moving environment. You should bring strong judgment, clear communication, and the ability to turn ambiguous operational needs into reliable systems that improve the employee experience. This role is the onsite IT lead in our Dublin office, serves as the regional lead for EMEA IT support, requires 5 days in office per week, and offers relocation assistance to new employees. This role is based in our Dublin office. In this role, you will: Own EMEA IT Support: Take end-to-end ownership of the regional support experience, from prioritizing needs and resolving escalations to addressing systemic gaps and driving improvements. Lead EMEA Regional Support: Partner across offices and time zones to improve coordination, strengthen support coverage, and drive a more consistent employee experience across EMEA. Own Employee Lifecycle Operations: Lead or support onboarding and offboarding workf

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role We are seeking a Senior Product Manager to drive the vision, strategy, and execution for a key product area within the Auth0 Identity Security product line, with a focused mandate on the rapidly evolving domain of Agentic Security. This role sits at the intersection of product strategy, cross-functional leadership, and agile execution — requiring someone who can both shape long-term direction and deliver with precision. We are the team that builds solutions that protect our customer’s Auth0 environments. Our group delivers features such as attack protection, bot detection, adaptive MFA, identity security for AI Agents and related analytics / insights on the effectiveness of our solutions in thwarting attacks from bad actors. The ideal candidate brings direct, hands-on experience in agentic security product management, with a deep understanding of how AI agents are built, orchestrated, and secured. This includes practical knowledge of agentic workflows, MCP servers, agentic tooling, and their use through productivity applications such as Claude Code. A core focus of this role is runtime security & AI agent classification: building real-time detection, behavioral analysis, and protection capabilities for agentic systems. The successful candidate will have command of the OWASP Top 10 for Agentic AI attack vectors and mitigations, and will bring experience in identifying and responding to threats such as prompt injection, agent intent anomali

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role We are seeking a Senior Product Manager to drive the vision, strategy, and execution for a key product area within the Auth0 Identity Security product line, with a focused mandate on the rapidly evolving domain of Agentic Security. This role sits at the intersection of product strategy, cross-functional leadership, and agile execution — requiring someone who can both shape long-term direction and deliver with precision. We are the team that builds solutions that protect our customer’s Auth0 environments. Our group delivers features such as attack protection, bot detection, adaptive MFA, identity security for AI Agents and related analytics / insights on the effectiveness of our solutions in thwarting attacks from bad actors. The ideal candidate brings direct, hands-on experience in agentic security product management, with a deep understanding of how AI agents are built, orchestrated, and secured. This includes practical knowledge of agentic workflows, MCP servers, agentic tooling, and their use through productivity applications such as Claude Code. A core focus of this role is runtime security & AI agent classification: building real-time detection, behavioral analysis, and protection capabilities for agentic systems. The successful candidate will have command of the OWASP Top 10 for Agentic AI attack vectors and mitigations, and will bring experience in identifying and responding to threats such as prompt injection, agent intent anomali

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. As the Site Reliability Engineering Manager for SLS, you will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll help grow and lead a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. We are looking to speak to candidates who are based in Cork for our hybrid working model. Responsibilities Build and lead a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers Define and drive a clear technical vision and comprehensive roadmap for our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs Contribute through hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges Act as the primary liaison for the Storage Layer Services SRE team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations You may be a good fit if you Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams Possess a customer-focused mindset, treating internal developers as your primary users Value efficiency in processes and operations, and have a track record of optimizing team workflows Pref