Top Tech Jobs & Startup Jobs

Leads a multi-year transformation of marketing content supply chain operations across Workfront, AEM Assets, DAM, and related Adobe tools. Defines strategy, roadmaps, workflows, governance, KPIs, AI and automation use cases, platform integrations, and operating model changes. Manages vendors, risks, dependencies, change management, and a team of marketing operations professionals while driving adoption, content delivery, efficiency, and measurable business value.

Designs, operates, and improves secure AWS cloud environments and ECS application platforms supporting data-driven applications. Builds and administers CI/CD pipelines using Jenkins and Spinnaker, improves reliability and scalability, supports Kafka and SQL dependencies, and partners with globally distributed Agile teams. The role also involves mentoring engineers, establishing reusable deployment standards, and driving operational excellence across Java/Spring Boot microservices and React micro frontends.

Manage point-of-sale fraud strategies and conduct complex risk analyses to reduce losses while balancing customer impact. Responsibilities include developing fraud rules and policies, identifying risk indicators, enhancing reporting, testing mitigation processes, leading strategy initiatives end-to-end, analyzing large datasets, and presenting recommendations to management. The role collaborates with Operations, IT, Risk Management, and other cross-functional partners to improve fraud detection and customer experience.

Manage and support production systems to ensure stability and compliance. Perform vulnerability and incident management, install patches and upgrades, renew certificates, configure servers, and monitor performance with Dynatrace/Logscale. Participate in on-call rotation, complete projects to deadlines, perform root cause analysis, report trends, and lead application governance and audit responses while mentoring junior staff.

Leads enterprise information lifecycle governance for unstructured data, developing automated retention and disposition strategies across SharePoint and Microsoft 365. Partners with Legal, Compliance, Risk, Technology, and business stakeholders to configure retention, legal hold, and regulatory controls. Translates retention schedules into operational configurations, monitors automation effectiveness, resolves exceptions, and prepares executive reporting. The role also evaluates AI-enabled tools and supports scalable data governance practices.

As a Data Expert, you will translate business requests into analytics solutions, partnering with technology teams and deploying prototypes quickly. Responsibilities include responding to data requests, building analytics solutions, supporting credit decision-making, and leveraging AI and automation tools.

Identify and research potential license-management leads using datasets, online repositories, and PDF document analysis. Validate organizations, locations, licensing evidence, and ICP alignment; qualify opportunities against acceptance criteria; enrich and enter accurate lead records into Salesforce with supporting documentation. Collaborate with Sales, Marketing, and leadership to improve lead quality, research methods, and targeting.

Owns learning operations and delivery across the company, including intake, prioritization, LMS administration, reporting, compliance, integrations, vendor management, content lifecycle, facilitation, and program measurement. Translates business needs into scalable learning solutions, partners with stakeholders and subject matter experts, and improves learner experiences through automation, system enhancements, feedback, and data-driven insights.

Lead the technical direction and execution of WHOOP’s foundation AI modeling efforts across wearable sensor data, language, biomarkers, and behavioral signals. Drive high-risk research from hypothesis to production, shape AI strategy and infrastructure decisions, collaborate across research, product, and engineering, mentor senior technical talent, establish evaluation standards, and represent WHOOP externally through recruiting, partnerships, and the machine learning research community.

Provides commercial legal guidance across global business operations by drafting and negotiating vendor, SaaS, technology, marketing, partnership, procurement, and services agreements. Advises stakeholders on contract, intellectual property, privacy, and compliance matters; builds scalable templates, playbooks, workflows, training, and self-service resources; and improves legal processes through automation and AI-enabled tools.

Handle inbound calls from customers and agents seeking commercial insurance solutions, gather information, develop tailored insurance proposals, and provide exceptional service. Manage high call volumes, multitask efficiently, and meet sales goals in a hybrid environment. Candidates must obtain required insurance licenses, complete mandatory paid training, and work assigned shifts during operating hours, including three weekly office days.

Leads a team of wholesale underwriters while personally underwriting management liability business across private, nonprofit, and public organizations. Responsibilities include analyzing applications, financials, and loss histories; negotiating policy terms; developing manuscript coverage; cultivating wholesale broker relationships; marketing to brokers and insureds; and supporting product strategy, reporting, and growth initiatives across the Western United States.

Lead the strategic and operational direction of a specialized casualty claims team managing severe-exposure portfolios. Oversee claims managers, complex litigation, coverage strategy, reserves, settlements, legal vendors, and portfolio analytics. Collaborate with legal, underwriting, actuarial, reinsurance, and executive stakeholders to manage emerging risks, litigation trends, loss costs, and claim outcomes. Develop protocols and best practices for environmental, mass tort, toxic tort, latent injury, and other complex claims.

Own product surfaces end to end, translating founder-framed strategy into specifications, design direction, agent-built implementation, and measurable growth experiments. Lead an incentive-driven consumer verification product, protect contribution quality against gaming, and run pre-registered ship-or-kill tests. Work directly with the founder, designer, and engineers in an AI-native environment focused on verified commerce truth, agent-powered development, and high-traffic consumer surfaces.

Own the end-to-end verification system that determines whether shopping claims are true. Design and operate judge pipelines, calibration and abstention mechanisms, arbitration rulebooks, golden sets, regression corpora, and adversarial evaluations. Scale machine verdicts across millions of claims while maintaining a high accuracy floor against human-graded exams. Establish eval-driven shipping gates, control contamination, and define the seat’s success metric and decision authority with the founder. Work hands-on with models, agents, and verification infrastructure.

Own the end-to-end pipeline for producing four to six data studies monthly from proprietary checkout, code-testing, and shopper behavior data. Responsibilities include querying BigQuery with SQL, validating statistical methods and denominators, identifying publishable findings, conducting interviews and panels, writing studies and pitch briefs, maintaining canonical statistics, and verifying AI-generated research. The role combines computational journalism, primary reporting, editorial judgment, and data-quality oversight to produce work cited by journalists and AI answer engines.

Leads global supply chain strategy, efficiency improvements, cost reduction, warehousing solutions, logistics innovation, and data-driven process optimization. Manages cross-functional initiatives, project timelines, budgets, resources, technology evaluations, stakeholder integration, executive reporting, and junior staff development. Requires at least five years of progressive supply chain, engineering, logistics, or purchasing experience and willingness to travel domestically 5%.

Lead North American finished-vehicle network design logistics, managing teams, strategic projects, routing, distribution, transportation methods, cost optimization, systems accuracy, data analysis, continuous improvement, and purchasing support. Collaborate with operations, procurement, IT, manufacturing, and sales across domestic and international networks. Drive innovation, change management, project completion, and performance validation while mentoring logistics professionals.

Coordinate material readiness for vehicle programs by verifying supplier orders and requirements, communicating with suppliers and purchasing, tracking EDI certification, creating shortage reports, resolving assembly plant material issues, publishing availability status reports, and supporting launch review meetings. The role facilitates cross-functional communication, escalates unresolved issues, and drives continuous improvement across Global Supply Chain stakeholders.

Own the full commercial contracting lifecycle, including drafting, negotiation, redlining, approvals, renewals, and signatures. Manage CLM tools, clause libraries, templates, metrics, and AI-driven workflows. Partner with Sales, Deal Desk, Finance, Security, HR, Product, and Marketing to streamline agreements and coach teams on standard terms. The role requires strong SaaS contract expertise, legal operations ownership, AI fluency, and autonomous cross-functional collaboration.

Build and operate AWS GovCloud data infrastructure across development, preproduction, and production environments. Establish PostgreSQL platforms, infrastructure-as-code with Chef, BI infrastructure, identity integrations, monitoring, observability, CI/CD, and disaster recovery. Support data pipelines, troubleshoot incidents, optimize databases, and ensure FedRAMP and FISMA compliance. Collaborate with security, compliance, DevOps, and data engineering teams while delivering greenfield infrastructure from architecture through production.

Design, implement, optimize, and maintain scalable hybrid multi-cloud Kubernetes platforms operating at massive scale. Integrate open-source technologies, improve platform reliability, provide technical direction, mentor engineers, and participate in on-call support. The role requires expertise managing large Kubernetes clusters, observability tools, Linux environments, public clouds, custom data centers, and AI-enabled workflow improvements.

Analyzes the exposure management competitive landscape, synthesizes technical and market intelligence, conducts win/loss analysis, supports competitive deals, develops field enablement materials, and recommends product and go-to-market strategies. Partners with Product, Sales, Marketing, Strategy, Investor Relations, and senior leadership to translate complex cybersecurity concepts into actionable guidance and executive insights.

Provides technical sales support for Dynatrace observability solutions through product demonstrations, proof-of-concepts, cloud architecture discussions, customer presentations, RFIs and RFPs. Partners with sales teams, channel partners, customers, product management, marketing, and services teams. Leads technical evaluations, troubleshoots issues, supports events, identifies expansion opportunities, and communicates customer feedback. The hybrid role requires Denver-area residence and up to 30% travel.

Provides technical sales support for Dynatrace observability solutions through product demonstrations, proof-of-concept leadership, cloud architecture discussions, RFI/RFP responses, and customer presentations. Partners with sales teams, channel partners, customers, product management, marketing, and services teams. Requires observability expertise, troubleshooting, DevOps and cloud knowledge, modern application technologies, automation experience, and travel up to 30%.

Drive partner-related business across an assigned sales region by building partner-led pipeline, accelerating revenue, managing strategic and emerging partners, and aligning partners with regional sales teams. Own regional partner business plans, scorecards, QBRs, demand generation, forecasts, account targets, partner deals, teaming agreements, and pipeline development. Collaborate with sales leadership, hyperscalers, marketing, enablement, and cross-functional teams to generate revenue and establish repeatable partner growth motions.