Delivery Driver Rx Tech Jobs

Opportunity Overview: Cohere’s Provider & User Management team is responsible for ensuring that provider organizations are supported throughout their lifecycle of using the platform. This role will play a critical part in enabling successful onboarding across our client base by capturing, analyzing, and translating real-world workflows into actionable insights for downstream teams. The Business Analyst role is an entry-level position focused on pre-implementation readiness. This individual will support client onboarding by conducting workflow shadowing, time studies, and documentation of current-state processes within provider organizations and health plans. As a Business Analyst , you will work closely with cross-functional teams at Cohere to deeply understand our mission and the providers and health plans engaging with our products and services. You will gain exposure to client user perspectives—including clinical reviewers (e.g., RNs, LPNs) and operational teams—and the workflows they operate within. You will leverage this knowledge to document and synthesize insights that inform Client User Training, Provider Training, Product, and Provider Success Account Management teams. Your work will directly impact how Cohere prepares providers and clients for implementation and scales best practices across the organization. The Business Analyst will be highly organized, curious, and detail-oriented, with a strong ability to observe, document, and communicate workflows in a way that drives clarity and action. What you’ll do: Conduct pre-implementation workflow shadowing sessions with provider organizations and health plan teams Perform time studies and analyze current-state workflows to identify inefficiencies and variation Document workflows, processes, and user behaviors in a clear and structured format Translate observations into actionable insights and recommendations for downstream teams (e.g., Client Training, Provider Training, Product) Partner with cross-functi

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: We are seeking an Operations Control Analyst - SMB who will support the Vendor Relationship Manager in maintaining the operational integrity and regulatory compliance of third-party vendors within the Small Business Lending unit. This role focuses on the execution of the control framework, ensuring that vendor activities across the entire SMB lifecycle—including sales, servicing, and collections—align with SoFi’s internal policies and external regulatory requirements. What you’ll do: To assist the Vendor Relationship Manager - SMB in maintaining the operational integrity of the Small Business Lending unit, the Operations Control Analyst — SMB will focus on the following structured responsibilities: Process Integrity and Resilience: You will execute consistent monitoring and rigorous testing of vendor processes to ensure all workflows are thoroughly documented, testable, and capable of supporting long-term operational resilience. Risk Mitigation and Compliance: Working closely with the Vendor Manager and the Operations Exam & Control Support Manager, you will assess vendor risk across customer acquisition and servicing to ensure alignment with internal policies and regulatory requirements. Data-Driven Insights: By utilizing advanced Excel or Google Sheets functions, you wil

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role SoFi is seeking a Fraud Model Developer to join our Fraud Model Development team. In this role, you will develop, evaluate, and monitor machine learning models that support data-driven fraud and risk decisions across SoFi’s products and services, including Personal Loans, Student Loans, Credit Cards, and Crypto. You will build quantitative and machine learning solutions designed to reduce fraud losses, minimize false positives, lower operational costs, and protect SoFi members. You will also analyze model and product performance, identify key drivers of fraud losses, and translate complex findings into actionable recommendations for business and risk partners. This role requires strong experience in machine learning, statistical modeling, data analysis, and model performance monitoring. You will work closely with Fraud Risk, Fraud Operations, Product, Engineering, Finance, Accounting, and other business teams to develop scalable fraud-modeling solutions and ensure model performance and loss trends are clearly communicated. What you’ll do Develop quantitative, statistical, and machine learning models that reduce fraud losses, minimize false positives, and lower operational expenses associated with fraud complaints and disputes. Aggregate, clean, and synthesize large datasets from multiple data envir

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role We are searching for a passionate Staff Fraud Risk Analyst who is highly self-motivated, analytical, with a decent understanding of debit card fraud transactions and account takeover fraud strategies. This role will work on fraud strategies at banking transactional stages during customer journey, implement effective fraud strategies to help our platform to realize a safer, more transparent and secure environment. This role will work collaboratively with various stakeholders to ensure strategy performances while maintaining a smooth customer experience. By joining SoFi, you'll become part of a forward-thinking company that is transforming financial services for the better. We offer the excitement of a rapidly growing startup with the stability of an industry leading leadership team. What you’ll do: The fraud prevention analyst will help SoFi develop better data driven fraud decisioning by: Architect and scale robust table structures and analytics using expert-level SQL and Python to serve as the foundation for global risk detection and real-time reporting. Design sophisticated fraud decisioning strategies by synthesizing login, entity, and tokenization signals to neutralize complex threats like Account Takeover (ATO) and high-risk transactions. Lead cross-functional initiatives by translating

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Our professional services team combines payments and financial expertise with experience integrating Stripe technology in thousands of projects. We help our customers create marketplaces, launch subscription businesses, expand globally, and more. This team provides critical implementation and post-launch services to help Stripe users maximize long-term value, quickly and confidently. We are looking for an experienced Integration Engineer to join our SEA distributed team. What you’ll do Stripe’s Integration Engineering team is responsible for providing technical leadership and guidance to our most strategic users while they are integrating with Stripe. We’re seeking engineers with strong technical and business skills to drive high-quality integrations while accelerating time-to-live. Using first-hand customer knowledge, you will also impact product strategy, working with all parts of Stripe to ensure its offerings continue to satisfy its largest and most strategic users’ needs. Responsibilities Be a trusted technical advisor to clients and project members to solve complex technical challenges, and establish credibility & build deep relationships with senior technical individuals within client organization Collaborate with Sales, Solution Architecture and other user-facing teams to drive client engagement, customer wins, and revenue on behalf of the Professional Services team Plan and execute integration engineering end-to-end, from hi

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe's Professional Services team works with our most strategic users. You'll work on the highest visibility projects to provide technical expertise to our customers to help accelerate their knowledge, solution design and integrations with Stripe. You'll lead strategic conversations and develop plans that will transform the payments and financial infrastructure for leading enterprises. As we grow, we're looking to start a team in Paris, working across EMEA but helping us expand our coverage, especially in the French market. What you'll do As an Integration Engineer on the Professional Services team, you'll own the technical relationship with Stripe's most strategic users—from initial discovery through to live integration and ongoing optimisation. You'll bring together deep technical expertise and consultative skills to help enterprises design and implement complex integrations, resolve issues at pace, and continuously improve how they use Stripe's platform. Responsibilities Collaborate with Sales, Solution Architecture, and Implementation teams to drive client engagement, customer wins, and revenue on behalf of the Professional Services team Plan and execute integration engineering end-to-end, from high-level architecture down to code implementation Think on your feet and talk comfortably about technical concepts, explaining how Stripe works from both a product feature and API architecture perspective Educate our users and the developer co

To drive standardization, governance, and operational excellence of Technical Services across all group locations by establishing uniform IFM standards, technical specifications, maintenance frameworks, and performance metrics. The role is responsible for developing and implementing group-wide technical service policies, ensuring asset reliability, regulatory compliance, cost optimization, and consistent service delivery across office, residential, industrial, and mixed-use facilities while enabling scalable growth and best-in-class workplace infrastructure management Source: Adani Group | Job ID: 55944

Business Systems drives efficiency across Datadog through business process analysis, systems automation and integrations, AI agent and MCP development, and vendor/software review. The team is increasingly embedded in cross-functional initiatives across People, Finance, GTM , Legal, Recruiting, and Technical Solutions — translating ambiguous business problems into scoped, buildable solutions and owning delivery end-to-end. This is not a generalist BSA role. Each Senior BSA will own a cluster of business functions end-to-end, acting as an internal product manager for their domain rather than processing inbound requests reactively. There are two openings, each covering a different domain: People, Recruiting, Legal or Finance, GTM, Procurement As the role evolves alongside AI, Senior BSAs leverage agentic tools for data aggregation and context gathering while remaining the critical human-in-the-loop layer — owning business context and product outlook, validating use cases, managing stakeholder relationships, and making the judgment calls agents can't. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Discovery and scoping: Translate ambiguous asks from business stakeholders into well-defined requirements that Business Systems Engineers can build against. Many stakeholders don't know what they want or the cross-functional impact of what they're asking for — you surface both before engineering begins. Cross-functional visibility: Identify dependencies, downstream impacts, and integration considerations that requesting teams miss. Proactive opportunity identification: Develop deep domain knowledge to identify automation and AI opportunities before they become inbound requests, shifting the team from reactive in

Opportunity Overview: We are seeking a Lead Data Engineer to drive the design and delivery of our cloud-native healthcare data platform. You will lead the implementation of scalable data solutions built on AWS, Apache Iceberg, Lake Formation, Glue Catalog, Athena, dbt, and modern orchestration frameworks. This role combines deep hands-on engineering with technical leadership and collaboration across platform, analytics, and business teams. What you’ll do: Lead Data Engineering Initiatives Lead delivery of complex data engineering projects across multiple teams Drive technical execution from design through production deployment Establish scalable implementation patterns Build and Optimize Data Platforms Design and implement batch and near-real-time pipelines Build reusable ingestion, transformation, validation, and publishing frameworks Support modernization of legacy workloads Lakehouse Engineering Lead Apache Iceberg implementation and optimization Define standards for schema evolution, partitioning, compaction, and metadata management Ensure efficient storage and query performance Data Quality and Reliability Implement data quality frameworks Drive observability and monitoring practices Improve operational excellence and reliability Technical Leadership Review architecture and design proposals Conduct code reviews and engineering reviews Mentor engineers and establish best practices ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager. Required Qualifications: 8–12 years of Data Engineering experience. Experience leading enterprise-scale data initia

The Consumption Based Billing & Licensing (CBBL) team builds the systems that decide what customers can access, what they've purchased, and what they've used. We own the infrastructure behind licensing, entitlements, and usage-based billing for Asana's newer products and add-ons — making sure customers get the right paid features, usage is tracked accurately, and admins have clear ways to understand and manage their accounts. As Asana expands its product surface and pricing models, the systems we build directly shape how the business grows and how customers experience the value of what they've bought. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve: Lead and grow a team of engineers working across backend systems, platform services, and customer-facing experiences. Set technical direction and help shape the roadmap for licensing and billing capabilities. Partner closely with Product, Design, Data, Finance, Sales, and other engineering teams to turn ambiguous business needs into shipped solutions. Drive execution on projects such as: licensing and access control usage tracking and billing admin dashboards, alerts, and controls bulk and automated license assignment trial and add-on provisioning flows Make thoughtful trade-offs across scalability, reliability, correctness, and speed of delivery. Coach engineers, support their growth, and build a high-performing team culture. Communicate clearly with senior stakeholders and explain technical decisions in business-friendly terms. About you: Strong engineering management experience, ideally at the level of leading a team through complex prod

About the team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. OpenAI for Government (OAI4G) helps public-sector institutions understand, adopt, and deploy highly capable AI products in support of their missions. The team brings together Sales, Solutions, Partnerships, Technical Success, Legal, Security, Policy, Global Affairs, and other cross-functional partners to help governments use AI responsibly and effectively. As part of OAI4G’s International Public Sector team, you will help public institutions in Australia and New Zealand (ANZ) and APAC translate frontier AI into secure, compliant, mission-aligned outcomes. We work across varied procurement, regulatory, security, sovereignty, and commercial environments, while maintaining a consistent commitment to safety, reliability, and public benefit. About the role We are seeking a senior Account Director (AD) to lead OpenAI’s public-sector work across ANZ, with a wider remit to develop selected priority opportunities across APAC. ANZ will be the centre of gravity for the role: you will build trusted relationships with government leaders, develop and execute account strategies, create and close complex opportunities, and help customers move from initial interest to successful adoption. This is a full-cycle, highly cross-functional sales role that combines technical understanding, strategic vision, partnership management, and value-driven execution. You will work with senior government, operational, technical, procurement, policy, and security stakeholders to identify high-impact AI use cases and translate them into credible commercial and deployment pathways across the OpenAI Platform API and Codex and ChatGPT Enterprise. You will also be an accountable customer leader after signature, working alongside specialist delivery and technical teams to keep customer outcomes, milestones, adoption, risks, and executive alignment on track. The role requires excellent judgement, exec

Head - Project directs and oversees DC project delivery for AdaniConneX. Ensure projects meet design, schedule, and budget requirements while achieving quality standards and client satisfaction. Drive strategic planning and execution to align with organizational goals. Source: Adani Group | Job ID: 51587

Sales - Pranaam role is responsible to drive the growth and excellence of Pranaam Services at a large airportby achieving revenue targets through strategic partnerships and business development initiatives. The role aims to ensure an exceptional customer experience by managing service delivery, optimizing operations, and maintaining quality standards. Additionally, the role is responsible for building strong stakeholder relationships, ensuring compliance, handling crises efficiently, and fostering team development to uphold a culture of continuous improvement and service excellence. Source: Adani Group | Job ID: 47724

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. The Team : Have you ever considered what powers the intelligent features behind seamless product experiences? The GenAI team is at the forefront of enabling AI-powered security and intelligent innovation across our organization. From crafting AI powered security services, to intuitive generative AI-powered chat experiences that provide instant product support, and developing the best developer experience around authentication for generative AI and AI agents, our team is instrumental in bringing the transformative power of AI to life. We collaborate closely with the Machine Learning team and various product teams to ensure the seamless and secure delivery of AI-enhanced features that provide real value to our users. The Opportunity : As a Staff Machine Learning Engineer on the Generative AI team, you will help shape, architect, and accelerate our Generative AI strategy by contributing across the stack of model development, infrastructure, and platform services. You’ll drive design and implementation of production-ready AI/ML systems at scale: ranging from LLM-powered features to reusable components that other teams across Okta can build on. You will have the opportunity to: Architect, design, and deploy robust Machine Learning & GenAI systems, ensuring seamless integration with diverse platform services and establishing scalable LLMOps pipelines in production. Drive technical decision making while striving to hit the right balance between factors s

We're looking for an Engineering Manager to lead the Agent Context team in NYC. This team owns how Asana's AI systems search, retrieve, and reason over the work graph the search infrastructure, dense embedding pipelines, ranking systems, and evaluation frameworks that determine whether every AI experience at Asana is trustworthy or not. Your mission is to make retrieval comprehensive, reliable, and fast at enterprise scale, positioning Asana as the coordination and memory layer for the agentic enterprise. This is a high-leverage platform role: nearly every AI product at Asana - AI Teammates, chat experiences, agentic workflows depends on the systems this team builds. You will manage a team of senior engineers in New York collaborating daily with partner teams in San Francisco and Warsaw, and work alongside a dedicated Product Manager as your direct counterpart. This role is based in our New York office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday; most Asanas have the option to work from home on Wednesdays. What you'll achieve Own the technical direction and delivery of Asana's retrieval stack end to end: lexical and semantic search, dense embedding generation and backfill at scale, chunking and ranking strategies, and RAG comprehensiveness across the work graph. Build and operate the evaluation infrastructure that makes retrieval quality measurable recall/precision benchmarks, offline and online evals, and comparative testing across retrieval backends - so quality decisions are made with data, not vibes. Drive the cost, performance, and quality tradeoffs that define this space: when semantic search earns its infrastructure cost over lexical, how to hit latency targets without sacrificing recall, and how retrieval improvements compound into cheaper, faster downstream LLM calls. Set and enforce the bar for how other teams at Asana integrate with retrieval: clear ownership of embedding decisions, rollout g