Top Tech Jobs & Startup Jobs

Leads design research initiatives and grows the research practice across product, service, brand, consumer, medical, and digital experiences. Develops research plans, conducts qualitative studies, establishes standards, mentors teams, and translates insights into experience strategies, service concepts, product direction, and innovation roadmaps. Facilitates workshops, builds cross-disciplinary teams, supports client presentations and proposals, and helps expand research and strategy offerings.

Designs and manages security strategies for cloud-based AI systems, including risk assessments, vulnerability analyses, security controls, incident response, compliance audits, and secure development practices. Partners with engineering, product, and compliance teams to protect sensitive data and mitigate cyber threats. Evaluates security technologies, establishes policies, trains staff, and mentors team members while monitoring emerging AI and cloud security risks.

Lead a quality engineering team supporting aerospace metallic and composite structures across design, production, and suppliers. Ensure AS9100, FAA/EASA, and customer compliance; oversee first article inspections, structural inspection planning, NDI/NDT, material certification, and special processes. Drive root cause analysis, corrective actions, structural qualification, risk mitigation, quality metrics, and continuous improvement. Support supplier quality for machining, fabrication, composites, metallics, and bonded assemblies.

Design aerospace primary and secondary structures, payloads, and systems-support components using CATIA V5. Create 2D manufacturing drawings and 3D model-based definitions, apply GD&T and tolerance stack-ups, and ensure manufacturability, cost effectiveness, and regulatory compliance. Perform V4-to-V5 conversions, support sustenance and change-request projects, manage PLM data in ENOVIA and 3DEXPERIENCE, and coordinate with engineering teams. Aerospace manufacturing experience and knowledge of aircraft lifecycles, structures, systems, and industry standards are required.

Develop and modernize a core provisioning platform using domain-driven and layered architecture. Build scalable, maintainable services supporting Platform-as-a-Service and custom composition models. Implement solutions with Kotlin, Java, AWS, and DynamoDB, while handling basic DevOps responsibilities and rotation support.

Manage and support large-scale Oracle databases in UNIX environments, including Oracle RAC, GoldenGate multi-master replication, and Data Guard. Responsibilities include performance tuning, troubleshooting, upgrades to Oracle 19c and 23ai, configuration, operational support, shell and Perl scripting, use of Oracle administration tools, on-call pager duty, and support for complex database environments.

Develops, certifies, improves, and maintains aircraft electrical power generation, distribution, and lighting systems. Responsibilities include preparing engineering documentation, conducting trade studies, testing new technologies, optimizing aircraft systems, managing technical interfaces with suppliers and partners, and representing the electrical engineering discipline. Requires collaboration across airworthiness, manufacturing, and engineering teams.

Drive new business development and consultative sales for consultancy services, expand strategic client relationships, manage accounts, execute sales strategies, and maintain CRM pipeline forecasts. The role requires industry networks and experience in medical devices, MedTech, automation, or robotics. It is remote but limited to the greater Boston/New England or Seattle areas and requires travel up to 50% of the time.

Designs, implements, and optimizes enterprise NICE CXone contact center solutions across voice, digital, AI, analytics, and telephony. Leads IVR, ACD, routing, omnichannel, integration, cloud migration, security, performance, and disaster recovery architecture. Creates technical designs and migration plans, resolves complex platform issues, guides architecture reviews, partners with stakeholders and vendors, and mentors technical teams.

Design, build, and deploy enterprise-scale Generative AI and agentic applications using LLMs, RAG, vector search, and multi-agent architectures. Develop secure Python APIs and AI-powered web applications, create scalable ingestion and retrieval pipelines, and deploy cloud-native solutions across AWS, Azure, and GCP. Implement Docker, Kubernetes, Terraform, CI/CD, observability, LLMOps, governance, and responsible AI practices while integrating enterprise systems and collaborating with cross-functional stakeholders.