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Opportunity Overview: As a Staff Data Scientist at Cohere Health, you will serve as a technical leader across high-priority initiatives, shaping how data science is applied to some of the most complex challenges in healthcare. You’ll drive the design of advanced analytical and modeling solutions, influence strategic direction, and partner deeply across Product, Clinical, and Engineering to deliver scalable, high-impact outcomes. This role goes beyond execution. You’ll define approaches, set standards, and guide others in solving ambiguous, high-leverage problems. You’ll play a critical role in advancing the maturity of data science at Cohere while contributing directly to improving clinical and operational decision-making. What you’ll do: Lead the design and execution of complex, high-impact data science initiatives across multiple domains Define analytical frameworks and modeling approaches for ambiguous, strategic problem spaces Partner with senior stakeholders to shape problem definition, prioritize opportunities, and influence decision-making Develop and deploy advanced models and scalable analytical solutions that drive measurable outcomes Establish best practices for experimentation, model development, and analytical rigor across the team Mentor and guide other data scientists, providing technical leadership and elevating team capabilities Drive cross-functional alignment to ensure solutions are practical, scalable, and integrated into workflows ISMS roles and responsibilities: Good knowledge of Information security Oversee specific business processes within the ISMS. Responsible to manage the ISMS documentation, conduct risk assessments, and implement risk treatment plans. Risk Owners are responsible for identifying, assessing, and managing risks within their areas of responsibility. They are also responsible for implementing risk treatment plans. Conduct the BCP and other test related to information security continuity along with CISO Responsible for monitor

Opportunity Overview: We are seeking a Senior Software Engineer - AI to join our Engineering team. In this role, you will build the intelligent agents and applications serving health insurance plans covering over 15 million people. You'll partner closely with product, data science, and clinical teams to build the foundation that transforms how clinical intelligence is delivered at scale. This is an opportunity to make a direct impact on healthcare outcomes while working with modern technologies in a fast-paced, collaborative environment. What you’ll do: Agent Development : Participate in the development, evaluation, and deployment of Cohere’s AI-powered agents and applications. Data & Retrieval Architecture : Design data and retrieval architectures that give AI agents the right context across diverse healthcare sources. Hands-On Engineering : Design, review, and own high-quality agentic code — leading releases, production deployments and on-call support. Cross-Functional Collaboration : Work closely with ML/DS teams, product teams, and architects to understand requirements and ensure systems meet business needs. Security & Compliance : Ensure all agentic components comply with healthcare security and privacy regulations (e.g., HIPAA) and adhere to industry best practices for security. Agile Development : Contribute to sprint planning, execution, and retrospectives, driving efficiency and velocity within the engineering team and collaborating closely with stakeholders to align with product goals and business priorities. 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: Must-haves Bachelor’s degree

Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is experiencing rapid growth. You’ll play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features, while also balancing scalability, reusability, and performance. As a Staff Engineer on the Application Engineering team, you’ll serve as a senior technical leader - responsible for designing and delivering high-quality, scalable software systems that power Cohere Health’s core platform. You’ll act as a multiplier, elevating the technical bar for the team, mentoring engineers, and partnering with product, data, and clinical teams to deliver solutions that meet compliance, quality, and performance standards. This role is ideal for engineers who thrive on solving complex problems in healthcare, have deep expertise in building distributed systems, and want to influence architecture and engineering practices at scale. What you’ll do: Technical Leadership & Architecture Define and drive the architecture of large-scale, distributed application systems across the Cohere platform. Ensure solutions are secure, performant, maintainable, and compliant with NCQA, CMS, and payer requirements. Champion engineering best practices in CI/CD, testing, release management, and observability. Hands-On Engineering Write clean, maintainable, and well-tested code, primarily in modern frameworks (e.g., Python, TypeScript/React, Java/Kotlin). Lead the development of core features and APIs that directly impact providers, payers, and patients. Partner with DevOps and Data teams to ensure seamless integration, scalability, and operational readiness. Quality & Compliance Focus Embed automated testing, monitoring, and release safeguards into the development lifecycle. Proactively address compliance and audit-readiness requirements in application

Opportunity Overview: We are seeking a Sr. Data Engineer to help drive the technical vision of our Data Engineering team as we scale our infrastructure, services, and architecture. This role is ideal for someone who blends deep technical expertise with strategic thinking and cross-functional influence. As a Sr. Data Engineer, you will partner closely with other data and analytics engineers, architects, product leaders, and business stakeholders to evolve our data infrastructure in support of high-trust, scalable, and business-aligned outcomes. You’ll also serve as a force multiplier across teams; raising the bar for data engineering excellence and accelerating the maturity of our data platform capabilities. What you’ll do: Develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from multiple source systems into enterprise data platforms. Ensure pipelines are scalable, reusable, fault-tolerant, and optimized for batch and near real-time processing requirements. Develop interactive dashboards, scorecards, and KPI reporting solutions using BI tools. Deliver executive, operational, and analytical reporting aligned with business goals. Identify repetitive manual reporting processes and automate them using scripting, workflow orchestration, scheduling tools, and dashboard refresh mechanisms to improve efficiency, accuracy, and turnaround time. Collaborate with internal stakeholders and leadership teams to understand data integration and reporting needs, define KPIs, document business rules, and translate requirements into scalable technical solutions. Implement data validation checks, reconciliation controls, lineage documentation, metadata standards, and governance policies to maintain trusted, secure, and compliant data assets across the organization. Provide technical guidance, code reviews, best practices, and mentor junior team members. Investigate and resolve production incidents related to pipelines, delayed reports, data mismatches

Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is experiencing rapid growth. You’ll play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features while also balancing scalability, reusability, and performance. As a Staff Engineer on the Application Engineering team, you’ll serve as a senior technical leader - responsible for designing and delivering high-quality, scalable software systems that power Cohere Health’s core platform. You’ll act as a multiplier, elevating the technical bar for the team, mentoring engineers, and partnering with product, data, design , clinical and payment teams to deliver solutions that meet compliance, quality, and performance standards. This role is ideal for engineers who thrive on solving complex problems in healthcare, have deep expertise in building distributed systems including data solutions, and want to influence architectural decisions for security and scale, drive cross-collaborations for alignment, establish technical standards for consistency and evolve both application and data engineering best practices at scale. What you’ll do: Technical Leadership & Architecture Define and drive the architecture of large-scale, distributed application systems across the Cohere platform. Ensure solutions are secure, performant, maintainable, and compliant with NCQA, CMS, and payer requirements. Champion platform engineering best practices in CI/CD, testing, release management, and observability. Hands-On Engineering Write clean, maintainable, and well-tested code, primarily in modern frameworks (e.g., Python, TypeScript/React, Java/Kotlin). Lead the development of core features and APIs that directly impact providers, payers, and patients. Partner with DevOps and Data teams to ensure seamless integration, scalability, and operati

About Us: Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com . Location: This is a hybrid role based out of our Gurugram office. To balance collaboration and flexibility, we work from the office 3 days a week (Tuesday - Thursday) and from home the remaining days (Monday & Friday). The Role: As a Senior Product Manager at Sauce Labs, you will be responsible for driving the vision, strategy, and execution of key products within our portfolio. This role will be leading developer-tooling for AI-native product portfolio , working closely with teams and customers across multiple regions. You will lead cross-functional teams to deliver best-in-class solutions that meet customer needs and support the company's overall strategy. You’ll be a key decision-maker in shaping product direction from new concepts to aligning pricing packaging, partners approach, and will mentor and guide other product managers. Responsibilities: Product Vision & Strategy: Define and communicate the product vision and long-term strategy to stakeholders and team members. Lead market and competitive analysis to identify opportunities for innovation and growth. Align product strategy with overall business goals, ensuring product efforts drive revenue and customer satisfaction. Be able to lead overall ROI analysis for new product initiatives including pricing and packaging Experience working with partners and 3rd party developer ecosystem Product Roadmap Ownership: Develop and manage the product roadmap, balanci

Opportunity Overview: We’re looking for a Manager, Platform Engineering that can lead and grow a high-performing engineering team focused on Developer Experience, DevOps, SRE, and Quality. You will own the systems and processes that enable teams to build, test, release, and operate software with high velocity and reliability, driving engineering efficiency and operational excellence across the organization. What you’ll do: Lead a fast-paced, autonomous team of engineers focused on platform engineering, developer experience, DevOps, SRE, and quality engineering Own and drive the internal developer platform strategy and roadmap, improving how engineering teams build, test, deploy, and operate services Create transparency into engineering efficiency and system health through meaningful metrics across delivery, reliability, and quality Enable teams to move faster by improving CI CD pipelines, environments, tooling, and overall developer workflows Provide technical leadership across platform, infrastructure, and reliability, helping teams build scalable and resilient systems Ensure strong engineering practices across release processes, testing, quality, reliability, and security Define and enforce release guardrails, validation standards, and rollback mechanisms to improve production safety Improve environment stability and consistency across development, QA, and pre production environments Drive test strategy and automation maturity to improve overall product quality and confidence in releases Define and implement observability, monitoring, and alerting standards across systems Improve incident detection, response, and RCA practices, ensuring learnings translate into platform and system improvements Drive cloud infrastructure best practices across AWS, containers, and infrastructure as code Foster a culture of ownership, reliability, and continuous improvement within the team Provide innovative solutions for attracting, developing, and retaining top engineering talent I

Opportunity Overview: We are seeking a Data Scientist to play a pivotal role in developing AI-driven healthcare enterprise applications. The ideal candidate will work with large datasets to uncover opportunities for product and process optimization. This role calls for hands-on experience in data modeling and solution optimization, along with a proven ability to deliver actionable, data-backed insights. Strong collaboration skills are essential, as you will partner with internal stakeholders and cross-functional teams to drive meaningful results. In our fast-paced environment, adaptability is key—your ability to pivot quickly and respond to business priorities will ensure you make the greatest possible impact. What you’ll do: Develop a deep understanding of business challenges and translate them into effective analytical solutions. Analyze complex datasets to uncover trends, patterns, and actionable insights that support strategic initiatives. Design, build, and maintain data models and reporting systems, leveraging both classical and modern machine learning and deep learning algorithms to enable robust analysis and informed decision-making. Evaluate and report on model performance and business impact, ensuring insights are clear, actionable, and effectively communicated. Proactively identify opportunities for product and process improvements using advanced analytics and machine learning techniques. Ensure accuracy and reliability of data-driven solutions through rigorous testing, validation, and continuous optimization. Stay ahead of industry trends by keeping up with emerging technologies and best practices in AI, machine learning, and healthcare analytics. ISMS roles and responsibilities: Fair understanding of Information Security practices. Align to the organization policies and procedures. Ensure to get updated with ISMS roles as assigned by the department/process heads. Required Qualifications: 4+ years of hands-on experience in Python with strong profic

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

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity . Are you looking to be an AI & SAAS Support Intern on a growing team? If so, this may be the role for you! You will be the face of FourKites to our customers—their main point of contact for everything they need. From helping customers track urgent shipments to providing assistance to carriers hauling the loads, you will be the product expert and go-to person to help users when they reach out. This internship is designed for hands-on, experiential learning —you'll get real exposure to how a growing SaaS platform operates, paired with the chance to work on special AI projects alongside our product and engineering teams. What you'll be doing: First point of contact for FourKites customers, partners & consultants to research, troubleshoot, replicate, and test product problems and bugs Track issue progress and provide regular updates to clients until incidents are resolved Interface with Development, QA, and Consulting Services as needed to resolve customer issues Contribute to special AI-driven initiatives , applying a curious, experimental mindset to explore how AI can improve support workflows and customer outcomes Be part of weekend rotation for 24/7 customer emergencies About the team: Our product and engineering teams are dedicated to providing the industry's best-in-class end-to-end supply chain visibility platform. We are committed to building a high-performing team with software craftsman-thinking who are dedicated to developing and enhancing our core platform, and we want you to be a central part of it! We help companies transform their end-to-end supply chain with real-

Opportunity Overview: We are seeking a Sr Business Intelligence Engineer to join our Intelligence team. In this role, you will drive the development and optimization of our analytical infrastructure, enabling efficient, scalable, and consistent reporting and analytics across the organization. You will play a critical role in shaping the foundation of our BI ecosystem—working at the intersection of engineering, data modeling, and stakeholder enablement. This is an ideal opportunity for an experienced BI engineer who can execute cross-functional projects, design performant data models, and contribute to the execution of a unified data strategy across platforms. You will also provide guidance and mentorship to junior team members and contribute to the evolution of Cohere’s modern data stack and governance practices. What you’ll do: Lead the execution and refinement of our business intelligence and analytics architecture, ensuring consistency, performance, and scalability across dashboards and self-service tools. Design and implement robust semantic and dimensional data models supporting operational, clinical, and strategic analytics use cases. Collaborate closely with data platform, analytics, and product teams to define shared data definitions, build source-of-truth datasets, and align transformations with stakeholder needs. Improve data pipeline efficiency and maintainability by establishing and enforcing best practices in dbt modeling, testing, and documentation. Support release management, quality testing, version control, and promotion of analytics assets across environments. Enable data providers and analysts to deliver high-impact dashboards and KPI frameworks using Tableau, with an emphasis on performance, usability, and governance. Serve as the primary Tableau Cloud SME for the organization, including user management, security, performance tuning, and environment configuration. Lead integration of Tableau dashboards into front-end web applications using the Ta

Opportunity Overview: We’re looking for a senior-level automation engineer who will help raise the bar on release quality, environment reliability, and change safety across Cohere’s platform. You’ll partner closely with Product, Engineering, Platform, and SRE to build scalable automation, guardrails, and validation systems that reduce production risk while increasing delivery velocity. This is not a “test scripts only” role. You’ll shape automation strategy, embed quality into the SDLC, and help define how changes move safely from dev → staging → UAT → prod in a fast-moving healthcare platform. You’ll help define how quality scales as Cohere grows. This role has real influence over release safety, platform reliability, and how engineering teams ship software in a regulated, high-impact domain. You won’t just test features — you’ll shape how Cohere delivers them safely to production. What you’ll do: Own and evolve Cohere’s end-to-end test automation strategy across UI, API, config changes, and critical workflows Design and maintain scalable E2E automation frameworks for multi-tenant, payer-specific workflows Build automated validation for deployment guardrails, release readiness, and production change safety Partner with Platform/DevOps to integrate automation into CI/CD pipelines and deployment workflows Create automated coverage for high-risk paths (authorization flows, partner integrations, file pipelines, feature flags, config changes) Drive test reliability, flake reduction, and actionable failure signals Define and enforce quality gates for prod releases, blue/green and canary deployments, and config changes Collaborate with Product and Engineering to ensure business outcomes are testable, measurable, and observable Improve test data management and environment stability to enable reliable automation at scale Mentor engineers on testability, automation best practices, and quality-first development Partner with SRE and Security to ensure production readines

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

About the Team The Analytics team is looking for Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash. About the Role Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. This is a rare operational and actionable data-driven experience. We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… As a senior Individual Contributor, mentor and influence junior Data Scientists in investigating complex issues and uncovering key drivers of our business Influence the Product and Operations roadmap by making actionable recommendations based on data Interface frequently with senior leadership to showcase your team’s work and tackle complex business problems Drive measurement strategy for the area under scope, defining success metrics and implementing best practices around experiment design and statistical analysis Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses We're excited about you because you have… A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain 8+ years of experi

Overview: The Client Service team connects Guidepoint’s clients with subject-matter experts to better inform their business decisions. They take the time to understand each client’s specific research needs and deliver the experts closest to the topic, often within hours. Interview Process: Meet your Guidepoint Recruiter! Initial Candidate Screen Meet the Guidepoint Teams! Hiring Manager Interview Hiring Team Interview Mock Assessment Complete a stimulated client request and gain more insight into the role Mock Review Interview Interview Process Outcome Who We Are: Team-oriented and collaborative Hard-working professionals who strive for excellence Built-in mentorship to help you drive and improve your project management and customer service skills, to deliver excellent results for clients Hands-on leadership to help you develop your career and provide opportunities for upward mobility within Guidepoint Guidepoint is passionate about your career growth: Check out our Client Service Career Trajectory. What you will own: Work with Project Managers and other team members to develop strategies for satisfying each client project request Operate in a sales environment to identify the best experts to join our network who provide consultant for client projects Utilize LinkedIn, press releases, case studies and the internet to identify the best experts for clients to get their strategic or investment questions answered Screen experts for their suitability for specific client projects and create professional profiles for client consideration Operate with a global teamwork mentality that leads to building and maintaining strong relationships with other Guidepoint employees, offices, and Advisors Experience you will bring: Bachelor’s degree or above Previous internship, volunteering or extracurriculars Skills you will bri