Top Tech Jobs & Startup Jobs

Design and build core developer platforms, including SDKs, APIs, runtime abstractions, tooling, and developer-facing services. Own platform products end to end, define scalable primitives, lead technical strategy, improve developer productivity metrics, establish engineering standards, and mentor senior engineers. The role requires deep distributed-systems expertise, production microservices experience, and extensive leadership operating developer platforms at scale.

Leads ServiceNow’s Mobile Platform Engineering organization across iOS and Android. Owns mobile platform strategy, architecture, reusable frameworks, SDKs, reliability, security, CI/CD, observability, and enterprise-scale offline experiences. Builds and mentors multi-team engineering organizations while partnering across Product, Design, AI, Infrastructure, and business functions. Drives integration of generative AI, agents, copilots, and on-device AI into secure enterprise mobile workflows.

Develops reliable cloud-native and AI-native software under senior guidance. Responsibilities include implementing features, writing tested code, integrating AI/ML services, developing ServiceNow workflows and applications, debugging issues, participating in code reviews, supporting CI/CD pipelines, and assisting with customer issue triage and documentation.

Leads international Salesforce platform strategy, deployment, governance, and transformation initiatives. The role coordinates cross-functional stakeholders across operations, finance, sales support, and technology; develops roadmaps, readiness assessments, governance routines, and repeatable deployment playbooks; translates business needs into process and platform requirements; and drives standardization, adoption, value realization, and continuous improvement across global markets.

Develop predictive models and advanced analytics for credit risk, fraud, insurance, and marketing use cases. Lead client analytics engagements from design through implementation and presentation, analyze large-scale datasets, build scalable analytical frameworks, and translate findings into business recommendations. Collaborate with clients, sales teams, and internal stakeholders while supporting proposals and analytics consulting.

Leads TransUnion’s global SOX compliance program, overseeing controls testing, scoping, risk assessments, remediation, audit coordination, and continuous improvement. Partners with finance and business leaders to strengthen controls, manage deficiencies, and improve compliance through automation and analytics. The role also leads and develops global teams, coordinates with external auditors, and drives timely program execution across complex organizational processes.

As a Sales Support Associate, you will welcome customers, operate POS, manage stock, support sales floor activities, and maintain cleanliness.

The Sales Associate is responsible for delivering personalized shopping experiences, meeting sales goals, maintaining store operations, and developing client relationships in a luxury retail environment.

Manage full-cycle recruiting for Tapestry’s North America corporate functions, from intake and sourcing through offer acceptance. Partner with hiring managers and HR teams, develop recruiting strategies, source diverse talent, build pipelines, provide market insights, and deliver strong candidate experiences. Maintain recruiting data, use funnel metrics, improve processes, and contribute to talent acquisition projects while independently managing complex requisition portfolios.

Design, implement, and maintain low-latency, high-performance network infrastructure for trading systems. Partner with engineering teams to automate, monitor, and troubleshoot distributed networks, optimize performance, ensure resilience and security, and evaluate emerging technologies to improve scalability and reliability.

Leads sustaining engineering projects for the HTF7000 turbofan engine family, including production support, fleet reliability, cost reduction, technical issue resolution, and propulsion system integration. Coordinates engineering, manufacturing, quality, supply chain, suppliers, customers, and aircraft OEMs. Oversees project scope, schedules, budgets, earned value, root-cause investigations, corrective actions, certification compliance, resource planning, and leadership communications.

Designs, develops, models, integrates, validates, and tests environmental control systems for commercial, regional, business, and military aircraft. Responsibilities include developing air and vapor cycle performance models, conducting thermodynamic, heat transfer, and fluid mechanics analyses, defining system requirements, validating models against test data, and collaborating with hardware and software engineering teams.

Supports and improves aerospace manufacturing processes for inertial measurement units and sensors. Responsibilities include manufacturing and test support, yield and performance data analysis, process capability improvement, technical issue resolution, product and assembly process enhancements, new product development, equipment and maintenance planning, and continuous improvement using Lean and Six Sigma methodologies. The role is onsite in Minneapolis and requires U.S. person status due to export controls.

Supports M&A advisory transactions for lower mid-market Consumer, Retail, and Restaurant companies. Responsibilities include financial modeling and business valuations, client and prospect meetings, industry and company due diligence, transaction execution, marketing and pitch materials, business development, and managing multiple projects while coordinating with senior bankers and clients.

Manages post-closing mortgage servicing and documentation operations, including MERS assignments, collateral custody, releases, document tracking, exception resolution, audits, reporting, and regulatory compliance. Leads direct reports, establishes procedures and SLAs, supports process improvement, coordinates with custodians and vendors, researches collateral issues, and provides operational guidance to business partners. Ensures accurate, timely fulfillment of mortgage documentation requests while meeting investor, state, regulatory, and internal quality requirements.

Reviews and fulfills complex customer servicing requests throughout loan or line-of-credit lifecycles. Communicates with customers, collaborates with internal teams, follows procedures and regulatory requirements, manages operational risk, identifies control gaps, and supports continuous process improvement. The role requires accuracy, sound judgment, strong customer focus, and consistent service-level performance in a fully onsite environment.

Design, deploy, and optimize production-ready autonomous agent systems for customer applications. Build multi-agent workflows, tool-augmented LLM architectures, evaluation frameworks, safety guardrails, and persistent memory systems. Collaborate directly with startups, CTOs, and AI leaders to translate business needs into reliable AI solutions. Validate DigitalOcean’s AI infrastructure, identify platform improvements, and communicate deployment insights to product and engineering teams. Travel up to 30% for customer engagements and collaboration.

Design, implement, and operate scalable managed database platform systems across distributed control planes and infrastructure. Lead architecture and cross-team technical projects, improve performance, resiliency, failover, backups, and recovery, and support multi-region workloads. Mentor engineers, conduct design and code reviews, establish observability practices, participate in on-call rotations, and turn production incidents into lasting improvements.

Architects and implements scalable managed database control-plane and infrastructure systems. Owns performance, resiliency, failover, backups, recovery, observability, and production operations for PostgreSQL and MySQL services. Translates ambiguous requirements into technical architecture, leads cross-team projects, mentors engineers, reviews designs and code, and improves systems supporting high-concurrency, data-intensive, and AI-adjacent workloads.

Leads an applied science team developing scalable machine learning and data science solutions for pricing and monetization. Responsibilities include architecting models, providing technical guidance, setting strategy and roadmaps, managing execution, hiring and mentoring scientists, and collaborating with engineering, product, analytics, and operations teams. The role also contributes to causal inference, stochastic optimization, demand estimation, and experiment design research.

Lead the research and implementation of scalable machine learning and data science solutions for customer lifetime value prediction. Apply causal analysis, deep learning, and back-testing to improve model performance, generate actionable insights, and guide business decisions. Translate complex findings for technical and non-technical stakeholders, solve ambiguous business problems, and collaborate across product, engineering, marketing, pricing, and customer service teams.

Drive end-to-end ML solutions for search, ranking, recommendations, and personalization. Build production model pipelines, scalable data pipelines, monitoring, A/B testing, and collaborate with cross-functional teams to translate business needs into measurable, reliable AI systems.

Build and operate AWS cloud infrastructure using Terraform/OpenTofu and Spacelift. Lead multi-account architecture migrations, develop reusable infrastructure modules, improve reliability and disaster recovery, support compliance, troubleshoot cloud environments, and automate recurring issues. Partner with engineering teams, strengthen observability and incident response, and participate in an internal infrastructure support on-call rotation. The role also drives multi-quarter platform initiatives with significant autonomy.

Own the end-to-end PEO onboarding experience, from discovery through setup. Set technical direction, design durable full-stack solutions, integrate systems across teams, and improve conversion through funnel instrumentation and experimentation. Build in a regulated domain with strong quality, testing, and observability standards. Use AI tools in engineering workflows and develop AI-assisted customer guidance. Influence cross-functional partners and raise engineering standards across the team.

Leads a payroll and tax customer support team, coaching representatives, monitoring performance metrics, improving customer experience, and driving scalable processes. Partners cross-functionally with product and other teams to reduce inquiries, enhance tools, and support retention and growth. Uses data and AI to improve efficiency, develop employees, and implement organizational change in a regulated support environment.

Supports Financial Advisors and ultra-high-net-worth clients through onboarding, account maintenance, investment transactions, money transfers, portfolio review preparation, and personalized wealth management services. Serves as a liaison among clients, advisors, branch management, compliance, and internal teams while ensuring regulatory adherence and delivering responsive client support.

Leads development of full-stack, cloud-native software using Java, Python, AWS, microservices, APIs, and PostgreSQL. Designs scalable and secure systems, builds LLM and generative AI capabilities, and integrates AI agents into engineering workflows. Improves operational stability through automation and observability while contributing to Agile delivery, system architecture, and technical standards. Collaborates across initiatives and promotes responsible, secure validation of AI-assisted development outputs.

Leads change execution and operational readiness across a portfolio of strategic Payments initiatives. Establishes governance, tollgates, milestones, risk and dependency management, executive reporting, and stakeholder communications. Coordinates Product, Sales, Onboarding, Service, Marketing, Technology, Legal, Compliance, and Risk teams to deliver launches successfully. Improves execution frameworks, process efficiency, reporting transparency, and adoption while ensuring audit-ready documentation and appropriate controls.