Top Tech Jobs & Startup Jobs

Supports software deployment, monitoring, automation, and cloud operations under experienced DevOps guidance. Assists with CI/CD pipelines, Kubernetes deployments, Azure cloud resources, Terraform infrastructure, Docker images, system troubleshooting, and security best practices. The role is a three-month temporary engagement with possible conversion to regular employment. It is onsite in Centennial, Colorado, or Long Beach, California, and requires U.S. citizenship and eligibility for DoD clearance.

Design, implement, validate, and deploy autonomy and optimization capabilities for fleet mission planning, resource allocation, sequential decision-making, and threat assessment. Develop distributed optimization architectures, translate stakeholder needs into mathematical programs, and validate solutions through simulation, hardware-in-the-loop testing, and operational deployment. The role requires production-quality software, rigorous testing, and collaboration across engineering disciplines in support of space operations.

Lead technical vision for AI and platform infrastructure across the company. Solve ambiguous, high-stakes problems end-to-end, set architecture and paved-road standards, guide AI provider selection, ensure compliance for government environments, mentor engineers, and drive adoption of best practices in DevOps, CI/CD, developer experience, and compute infrastructure.

Analyze sales and performance data to develop category strategies, promotions, pricing, and margin plans. Partner with vendors to negotiate terms, identify growth opportunities, onboard products and suppliers, and expand assortment. The role owns data-driven decisions, collaborates cross-functionally, and directly influences category performance.

Lead 45–85 frontline contact center agents and 3–5 managers. Drive coaching, talent development, workforce planning, stakeholder partnerships, compliance, change management, and operational improvements to improve customer and employee experience.

Own end-to-end analytics for Chewy's Pharmacy and related businesses: deliver deep-dive analyses, build self-service dashboards and KPIs, partner with finance and engineering to enable new data sources, conduct QA/UAT, and produce documentation and training to drive customer experience and financial outcomes.

Provides pricing support for aerospace aftermarket business activities through financial analysis, pricing recommendations, compliant government and commercial proposals, audit support, competitive assessments, negotiation strategies, and value-based pricing. Coordinates pricing activities across business, marketing, product management, and leadership teams while driving profitability, customer value, process improvement, and pricing excellence.

Leads global commercial strategy and sales execution for Honeywell’s UAS and UAM businesses. Builds and scales sales teams, develops market coverage and channel models, manages complex customer opportunities and negotiations, expands UAM accounts, and partners cross-functionally on solutions and product roadmaps. Owns forecasting, pipeline discipline, competitive insights, and commercial performance while representing Honeywell at industry events and regulatory forums.

Manage moderate-sized aerospace new product development programs from planning through execution. Establish scope, schedules, budgets, work breakdown structures, estimates, risks, and integrated master schedules while meeting cost, quality, delivery, and performance goals. Coordinate engineering, product management, supply chain, certification, customers, and global teams. Track earned value, financials, forecasts, milestones, and risks; communicate progress to leadership; resolve issues; and drive on-time completion through Honeywell’s IPDS phase-gate process.

Prospect for SaaS customers through approximately 50 daily cold calls, hunt for leads, map enterprise accounts, build demand, and develop technology sales skills. The role involves collaborating with teammates, engaging executives, learning customers’ businesses, using sales technologies and AI, and progressing toward closing sales roles.

Generate and qualify sales leads, map enterprise accounts, create demand for Samsara’s SaaS products, and conduct approximately 50 daily cold calls. The role develops enterprise technology sales skills through prospecting, executive engagement, and collaboration with sales teammates. Candidates must demonstrate resilience, curiosity, growth mindset, and willingness to learn technical concepts and apply AI in daily workflows. Successful interns may advance into closing sales roles.

Generate and qualify enterprise sales opportunities for Samsara’s SaaS products by making approximately 50 daily cold calls, researching and mapping accounts, building customer demand, and collaborating with sales teammates. The role develops enterprise technology sales skills and offers a path toward closing roles. Candidates must have sales or prospecting experience, be enrolled in or recently graduated from a four-year bachelor’s program, and work hybrid onsite in Atlanta three days weekly.

Conduct equity research on approximately 20 technology and SaaS companies, including valuation and discounted cash flow modeling. Analyze industry data, competitive dynamics, and publicly available information to develop investment insights and fair-value estimates. Publish research reports for sophisticated clients, build industry relationships, contribute investment ideas, and collaborate on financial models and written research. The role requires independent judgment, strong communication, advanced Excel skills, and a long-term fundamental investing perspective.

Rapidly prototype AI solutions embedded in advisor workflows: integrate models, signals, APIs and UX into experiments, validate feasibility and performance, and hand off documentation to production teams.

Build and iterate fast AI prototypes for advisor workflows, integrating models, signals, APIs, and UX. Test feasibility and performance, capture technical learnings, and produce handoff documentation for production teams.

Designs and engineers secure network and cloud architectures across AWS, GCP, Azure, and physical data centers. Responsibilities include threat modeling, network segmentation, monitoring, alerting, automation, attack-surface reduction, and secure connection patterns. The role drives strategic security improvements, partners with product and infrastructure teams, communicates architectural decisions, and mentors engineers. Candidates need deep hybrid networking and cloud security expertise, protocol knowledge, scripting ability, independent problem-solving skills, and strong communication.

Deliver generative AI-enabled source code review and application security engagements. Coordinate with leadership, organize resources, refine and present assessment findings, document recommendations, and mentor junior red team members. Support penetration testing projects, including external and web application testing, while managing engagement delivery and improving security assessment technologies and workflows.

Conduct AWS cloud threat hunting for global clients using Falcon, threat intelligence, cloud logs, queries, and scripts. Review configurations, identify adversarial activity and unauthorized access risks, develop defensive recommendations, and manage client projects. Communicate findings through technical reports, presentations, and stakeholder briefings, including to CISO-level audiences, regulators, and legal counsel.

Drive regional revenue growth for Zscaler’s security operations product portfolio. Own territory quotas, develop account-based strategies, and close complex enterprise deals. Partner with solution engineers, sales teams, and leadership to define customer requirements, build value propositions, and sell to C-suite executives and technical stakeholders. The role focuses on expanding data security solutions and winning new enterprise customers across an assigned region.

Drive revenue growth for Zscaler’s security operations product portfolio across an assigned enterprise territory. Build account-based strategies, own regional quota attainment, develop value propositions with solution engineers, and close complex deals. Engage C-suite executives and technical stakeholders while collaborating with sales teams, partners, and leadership. The role focuses on selling unified vulnerability management, deception, threat hunting, and broader data security solutions to enterprise customers.

Drive revenue growth for Zscaler’s security operations product portfolio across an assigned enterprise region. Serve as the specialist for customers, partners, and internal teams; develop account-based strategies; own regional quota; partner with solution engineers; craft value propositions; and close complex deals. The role requires engaging C-suite and technical stakeholders, selling vulnerability management, deception, and threat hunting solutions, and building new enterprise customer relationships.

Leads software engineering within an Identity and Access Management team, designing, developing, testing, debugging, and operating secure, scalable applications and APIs. Drives adoption of AI-assisted engineering practices with appropriate validation, improves automation and application stability, evaluates architectural solutions, and promotes modern technologies through technical leadership and communities of practice. Requires expertise in software development, cloud-native systems, AWS, infrastructure as code, REST APIs, CI/CD, automated testing, and Agile delivery.

Lead the enterprise customer experience strategy for card and connected commerce. Identify and quantify customer pain points, translate insights into prioritized initiatives, establish measurable outcomes and dashboards, and drive cross-functional execution across product, marketing, operations, analytics, technology, and risk. Build governance, operating rhythms, executive communications, and high-performing teams to institutionalize customer-centric decision-making and improve experiences at scale.

Develop quantitative analytics, pricing, risk, P&L, and lifecycle models for exotic equity derivatives. Build derivative product frameworks using C++ and Python, apply machine learning and dependency-graph programming, validate models, document methodologies, monitor model risk, and support traders through risk analysis, scenario testing, and explanations of model behavior.

Leads regional sales executives to drive new business growth, develop go-to-market and territory strategies, manage quotas, forecasts, and pipelines, and close enterprise opportunities. Recruits, coaches, and develops sales talent; builds C-level customer relationships; partners with consulting, services, marketing, and channel teams; and supports customer retention and expansion.

Design, build, and operate production-grade agentic AI systems for ServiceNow. Responsibilities include multi-agent orchestration, tool use, planning, memory, failure recovery, enterprise-grounded reasoning, RAG and search pipelines, safety guardrails, observability, model integration, evaluation frameworks, and cost and latency optimization. The role also provides technical leadership through architecture decisions, code reviews, and coaching.

Leads Americas benefits programs, including the US 401(k) plan and benefits across Canada, Mexico, Costa Rica, and Brazil. Manages vendors, compliance, financial wellbeing strategy, budgets, reporting, and continuous improvement. Provides benefits expertise to stakeholders and executives, analyzes plan performance and costs, and influences matrixed teams without direct reports. Supports occasional M&A benefits due diligence and integration.

Build and operate scalable platform services, developer tools, and internal infrastructure used across more than 20 engineering teams. Lead technical strategy, platform roadmaps, reliability improvements, CI/CD, observability, containerized environments, compliance, and incident resolution. Influence engineering standards without direct authority, mentor engineers, communicate with senior stakeholders, reduce technical debt, and guide responsible adoption of AI-assisted software development practices.

Support pricing and profitability strategy through analysis of pricing, sales, gross profit, customer behavior, and market data. Monitor competitor pricing, evaluate product/category performance, build dashboards and reports, segment product opportunities, and partner across teams to translate insights into pricing recommendations and initiatives.