Top Tech Jobs & Startup Jobs

Owns the operational health, stability, and continuous improvement of Microsoft Dynamics 365 and related enterprise applications. Manages incidents, problem resolution, releases, change governance, vendors, SLAs, KPIs, and ServiceNow workflows. Leads cross-functional teams, drives root-cause remediation, improves operational processes, communicates with executive stakeholders, and ensures reliable business system performance.

Manage global product marketing programs including campaign planning and execution, content creation and repositories, product launches, internal communications, and AI adoption. Run MarTech and AI automations, coordinate cross-functional and vendor work, improve processes, and support sales and regional marketing teams.

Provides frontline support for a retail active trading platform through phone, support cases, and potentially live chat. Resolves platform, account, onboarding, billing, PDT, and client service issues; escalates trade execution concerns to specialists. Requires brokerage or fintech support experience, strong communication, composure under pressure, and active Series 7 and Series 63 licenses. Series 3 is preferred or must be obtained within three months.

Manage the full lifecycle of defense contracts, subcontracts, purchase orders, modifications, and agreements. Review and negotiate NDAs, teaming agreements, licenses, and contract terms; analyze FAR/DFARS requirements; monitor milestones, CDRLs, and deliveries; coordinate invoices and funding; track government-furnished property; maintain records; and support contract closeout while collaborating with government, prime contractor, technical, finance, and internal teams.

Build quality into product development across multiple teams through exploratory, risk-based, and automated testing. Develop and maintain web, API, and integration test coverage using Playwright and TypeScript; investigate application, pipeline, and system failures; improve testability, reliability, and developer feedback loops; identify systemic quality issues; and help teams make informed release and risk decisions.

Develops and oversees maintenance training programs, including millwright and apprenticeship development, classroom instruction, hands-on training, safety education, testing, certification, and employee progression tracking. Collaborates with maintenance, operations, safety, human resources, factory management, and other training teams to ensure consistent programs and materials. Supervises training schedules, evaluates results, updates curricula, and reports progress to the Operations Training Manager.

Design and deliver developer tooling, frameworks, reusable templates, AI-assisted development infrastructure, authentication and identity platforms, and cloud-native services. Build and operate Java and AWS systems using Spring Boot and Kubernetes, establish engineering standards and guardrails, improve reliability and performance, and lead complex technical projects. Partner across teams to drive adoption, alignment, and measurable engineering productivity outcomes.

Support technical sales cycles by learning Snyk’s security platform, delivering product demonstrations, running proof-of-concept engagements, answering technical questions, and educating customers and partners on open-source and cloud-native security. Collaborate with sales, engineering, product, and customer success teams; document outcomes and objections; and progressively manage more complex accounts and technical scenarios.

Lead enterprise PSA implementations from kickoff through go-live and the client's first financial close. Own project plans, configuration, data migration, integrations, accounting mapping, reporting, risk management, scope changes, and client communications. Guide finance and delivery teams through billing, revenue recognition, utilization reporting, and reconciliation. Deliver post-implementation training, assessments, reporting, and integration advisory while collaborating with Sales, Product, Support, Engineering, and Customer Success.

Build and operate production machine learning systems and MLOps infrastructure for financial services. Responsibilities include developing feature and training pipelines, model-serving systems, CI/CD, automated retraining, monitoring, alerting, observability, and progressive model rollouts in GCP and Kubernetes. The role partners with data scientists and business teams to improve reliability, performance, scalability, cost efficiency, and deployment velocity while applying AI coding agents to infrastructure and ML workflows.