Top Tech Jobs & Startup Jobs

Leads a DevOps team building continuous delivery infrastructure, automated deployment frameworks, and secure, highly available cloud platforms. Responsibilities include architecture and design, infrastructure monitoring, incident response, root-cause analysis, operational support, business continuity, and collaboration with development teams, SaaS operations, and cloud providers. The role mentors engineers, improves deployment and operational efficiency, manages infrastructure across multiple sites, and remains hands-on with DevOps tools and practices.

Leads moderately complex pharmaceutical projects from planning through delivery, managing timelines, resources, governance, communications, change management, and continuous improvement. Partners with cross-functional stakeholders, resolves business challenges, translates data into actionable decisions, supports program governance and resource forecasting, and advances digital and AI-enabled capabilities. The role is on-premise, requires strong project management and communication skills, and offers a pathway toward broader portfolio management responsibilities.

Develops advanced analytics and data science solutions for Pfizer’s commercial organization. Responsibilities include analyzing large marketing and field-force datasets, applying statistical and data-mining techniques, designing experiments, solving complex business problems, and communicating insights to senior stakeholders. The role requires hands-on programming in Python, R, and SQL, machine learning knowledge, collaboration across functions, and practical experience with cloud platforms and CI/CD tools.

Build and deploy healthcare integrations for payer and health plan partners. Responsibilities include architecture discovery, prototypes, API and data-feed integrations using Python, SQL, HL7, and FHIR, production coding, troubleshooting live systems, customer collaboration, security reviews, documentation, and product feedback. The role owns implementations from discovery through launch and requires strong technical communication, healthcare data knowledge, and 15–20% travel.

Leads architecture and development of scalable healthcare applications and distributed systems. Provides technical leadership and mentorship, collaborates with Product and Design, manages software delivery, improves testing and CI/CD, resolves complex technical issues, and oversees cloud infrastructure, databases, deployment pipelines, and production monitoring. Requires hands-on full-stack engineering expertise, cloud and containerization experience, and participation in periodic on-call escalation coverage.

Own Power BI datasets, semantic models, DAX measures, and dashboards end to end. Trace and troubleshoot data flows through Azure Data Factory, Microsoft Fabric, and Power BI while ensuring reporting accuracy. Partner with stakeholders to define requirements, document reporting logic, and expand self-service analytics. Use and validate AI tools for queries, DAX, documentation, and reporting automation. Develop broader Customer Operations systems knowledge over time.

Owns the Employer BI product by translating client and business needs into requirements, prioritizing the backlog, identifying data and reporting gaps, and coordinating scalable analytics solutions. Partners with technical, data, analytics, operations, leadership, and client-facing teams to drive implementation, validate outcomes, communicate priorities and risks, and replace custom reporting with standardized capabilities.

Grow Optum Behavioral Care’s presence across Minneapolis by developing provider and clinic relationships, creating referral pathways, representing services at events, presenting program value, and executing territory growth plans. The role requires field-based outreach to physicians and medical groups, coordination with marketing and clinical teams, resolution of clinic issues, and use of reporting to demonstrate value and drive measurable growth.

Develops referral-source relationships and executes sales strategies to increase home health and hospice market share. Conducts sales calls, community education, and in-services; identifies customer needs, provides customized solutions, documents sales activities, and supports referrals. Serves as a liaison among healthcare providers, patients, families, and agency teams while managing resources within budget.

Sell Scotch’s POS and operating system—including hardware, software, payments, and e-commerce—to liquor store owners. Manage inbound and outbound sales activity, educate SMB buyers on operational and profit benefits, achieve performance targets, and collaborate with onboarding and support teams to ensure successful merchant transitions.

Leads enterprise AI/ML technical programs from strategy through production, including platform roadmaps, modernization, scalability, governance, executive communications, investment prioritization, and risk management. Establishes TPM practices and performance models, aligns cross-functional stakeholders, and mentors TPM leaders. The role requires extensive technical program management experience, distributed systems and cloud expertise, AI/ML lifecycle experience, and leadership in regulated environments.

Designs, develops, and supports enterprise-scale integrations across applications, cloud platforms, data sources, and business systems. Leads integration architecture and implementation, establishes standards and reusable patterns, automates configurations and workflows, and ensures interoperability, scalability, resilience, and performance. Collaborates with product, software, data, infrastructure, and architecture teams while supporting Agile delivery and mentoring engineers. The role focuses on email and Secure Email Gateway integrations, including Proofpoint.

Build, deploy, scale, and operate production machine learning models and platforms. Responsibilities include developing ML components, distributed data pipelines, cloud and Kubernetes infrastructure, model monitoring and retraining, CI/CD automation, responsible AI governance, and collaboration with product, data science, and engineering teams.

The job description is not yet available. Based on the title, this role appears to lead operational activities supporting product, engineering, and technical solutions teams.

Own enterprise scalability, performance, reliability, and multi-region readiness for a large SaaS platform. Identify and remove bottlenecks, lead architectural changes involving distributed systems, establish scale-readiness metrics, build benchmarking and profiling tools, improve incident outcomes, and guide teams through technical influence. The role requires hands-on engineering, executive communication, cross-functional leadership, and practical application of AI to engineering investigations and operations.

Own enterprise scalability, performance, reliability, and multi-region readiness for Klaviyo’s multi-tenant SaaS platform. Identify and resolve bottlenecks, design distributed-system improvements, establish scale-readiness metrics, build benchmarking and profiling tools, lead scalability reviews, improve incident response, and guide high-volume migrations. The role requires hands-on engineering, architectural judgment, cross-functional influence, executive communication, and responsible application of AI to engineering operations.

The Central FP&A Senior Analyst will support budgeting, forecasting, strategic planning, three-statement financial modeling, executive reporting, variance analysis, and financial process optimization. Responsibilities include enhancing Excel models, automating workflows with Power Query and VBA, maintaining reporting templates, supporting ERP and planning-system implementations, building finance dashboards, and partnering with Accounting and cross-functional teams on management reporting and operational improvements.

Lead the design and development of scalable full-stack systems for Genomics AI initiatives. Architect distributed microservices, build React and Node.js applications, optimize PostgreSQL and Redis systems, integrate generative AI and agentic workflows, and manage GCP infrastructure and CI/CD. Mentor engineers, guide architectural decisions, drive cross-team technical initiatives, and deliver high-quality software for precision medicine and clinical care applications.