Top Tech Jobs & Startup Jobs

Supports aerospace propulsion system development through requirements definition, verification and qualification planning, risk management, traceability, and MBSE modeling. The role develops system-level plans for solid rocket motors, tracks compliance, reviews test and analysis documentation, integrates engineering models, manages systems engineering tools and processes, and communicates with internal teams, management, and customers. Secret clearance eligibility and U.S. person status are required.

Leads GitLab’s Product Data Science team, setting its strategy, roadmap, analytical standards, and priorities. Partners with Product and Engineering leaders on experimentation, causal inference, analytics, and production modeling. Manages, hires, coaches, and retains data scientists while building a high-performing function. Provides hands-on technical review of models, analyses, and queries, and communicates insights and risks to senior leaders.

The Data Scientist will partner with Sales, Revenue Operations, and Finance to analyze GTM performance, build and productionize machine learning models, conduct experiments, forecast outcomes, and identify growth opportunities. Responsibilities include statistical analysis, causal inference, Python and SQL development, MLOps, agentic workflow automation, semantic-layer contributions, executive reporting, and communicating insights to nontechnical stakeholders in a fully remote environment.

Leads customer experience enablement programs for internal customer success and professional services teams. Develops training, onboarding, product content, job aids, assessments, and sales effectiveness strategies. Partners with field leaders and cross-functional stakeholders, supports product launches and events, delivers training through enablement tools, and measures program impact. Requires software sales or enablement experience, preferably in DevOps or open source, with public-sector or regulated-industry exposure.

Manage Huntress’s national CDW reseller partnership across the United States. Develop partner growth plans, build executive and seller relationships, enable CDW teams, coordinate co-marketing and sales programs, oversee opportunity registration, track performance, and drive pipeline and revenue. The role requires cybersecurity channel expertise, strong CDW ecosystem knowledge, national relationship management, and willingness to travel.

Own and evolve AWS infrastructure, Kubernetes, Terraform, CI/CD, developer tooling, observability, security defaults, backup recovery, and incident response. Build reliable automation and self-service workflows, establish SLOs and actionable alerting, support engineers across environments, lead platform initiatives, improve security and reliability practices, and mentor engineers serving millions of users.

Own Babylist’s SEO, AEO, and GEO strategy across traditional search and AI-powered platforms. Lead the organic search roadmap, technical SEO, content standards, measurement, AI-driven systems, brand search attribution, and agentic commerce initiatives. Partner with Marketing, Engineering, Editorial, Merchandising, and Partnerships to increase visibility, citations, registry signups, and revenue.

Leads product marketing for Risk & Performance solutions, including positioning, messaging, market intelligence, customer insights, go-to-market strategy, product launches, campaigns, and sales enablement. Partners cross-functionally with product, sales, customer success, demand generation, and content teams to communicate value to insurers, hedge funds, asset managers, and asset owners. Translates complex investment workflows, real-time modeling, and Python-based analytics into compelling narratives.

Reconciles investment portfolio transactions and holdings using external provider data, investigates discrepancies, delivers accurate client updates, and improves workflows. Builds relationships with clients and data providers, supports product initiatives, mentors analysts, resolves complex issues, monitors metrics, and develops training materials. Applies investment, accounting, financial, GAAP, and reconciliation expertise while coordinating with leadership and stakeholders.

Provides operational support to global investment clients by resolving accounting, reporting, compliance, reconciliation, and investment data inquiries. Manages client requests, validates data, uses internal tools and documentation, prioritizes workflow based on quality and productivity metrics, and contributes to cross-functional projects. Handles complex queries, builds client relationships, and trains or oversees junior staff.

Own the architecture, development, and operations of Cargill’s enterprise data platform. Build and optimize Azure and on-premises ETL/ELT pipelines, manage databases and migrations, implement CI/CD, improve performance and reliability, and create embedded Superset dashboards. Monitor platform health, data quality, security, and costs while integrating emerging AI capabilities. Mentor data professionals and make architectural decisions across global teams.

Leads the global real estate product strategy, vision, roadmap, backlog, and value delivery. Advises leadership using data and insights, develops scalable processes and technology capabilities, partners with cross-functional stakeholders, delivers minimum viable products, and guides global implementation and operational improvements for real estate users.

Lead the design, development, and operation of SoFi’s AI developer experience platform, including AI Gateway, model routing, evaluation systems, harness vending, and cost telemetry. Establish engineering standards, guide architecture and cross-team execution, improve CI/CD and operational reliability, mentor engineers, and partner with internal developers to drive adoption of AI coding tools. Ensure secure, compliant use of AI systems and maintain the platform’s technical vision.

Leads architecture and technical strategy for enterprise AI developer experience, including AI gateways, model routing, evaluation platforms, harness vending, and AI economics. Drives cross-team initiatives, resolves distributed-system bottlenecks, establishes engineering standards, leads incident response, evaluates AI tooling, and mentors senior and staff engineers. Requires hands-on experience with LLM architectures, model APIs, AI-assisted development tools, evaluation pipelines, dynamic routing, platform infrastructure, and infrastructure economics.

Own the company-wide cloud networking strategy and architecture across AWS, multi-region and multi-cluster environments. Lead network automation, AI-enabled infrastructure operations, progressive delivery, observability, security standards, and major incident response. Partner with engineering, security, compliance, SRE, and executives to deliver resilient, scalable networking. Mentor senior technical staff and guide multi-year, cross-functional initiatives.

The Senior Controls and Automation Engineer role supports automotive exterior manufacturing and automation initiatives within Magna Exteriors. The provided description emphasizes a dynamic engineering environment, employee benefits, and Magna’s automotive technology portfolio, but does not specify detailed technical responsibilities or qualifications.

Leads manufacturing engineering activities for automotive production, including new product and process launches, equipment and fixture design, manufacturing issue resolution, process flow optimization, material flow, cost reduction, and DOE analysis. Supervises and mentors manufacturing engineers, manages complex projects, establishes timelines and budgets, supports continuous improvement, and ensures safety compliance. Requires strong automation, controls, machine design, automotive, leadership, and project management experience.

Design and optimize manufacturing processes for automotive body and chassis production. Apply statistical methods, coordinate quality control, draft equipment/layouts, review production schedules/specs, estimate production costs, and liaise with vendors and management to resolve production issues and improve efficiency.

Build and own integrations between Axle Health and EHR/EMR systems, including legacy platforms with inconsistent APIs. Scope projects, make technical decisions, manage timelines, resolve customer issues, coordinate with vendors, and provide production support. Develop scalable, secure backend services, monitoring, resilience, documentation, and high-quality code for high-volume healthcare data systems.

Designs and troubleshoots cloud, SRE, and DevOps solutions across customer environments. Responsibilities include diagnosing complex systems, debugging code, advising customers, creating infrastructure-as-code patterns, documenting solutions, mentoring engineers, handling technical escalations, and supporting multiple projects. The role requires broad cloud and monitoring experience, strong programming knowledge, consulting or leadership skills, and familiarity with Kubernetes, service meshes, networking, serverless technologies, and configuration management.