Top Tech Jobs & Startup Jobs

Develop and operate autonomous AI agents and enterprise integrations using Databricks, Claude, MCP, and event-driven architectures. Build Databricks Apps, maintain MCP connectors, monitor agent performance, manage incidents, and document workflows, triggers, dependencies, and data sources. Partner with business, governance, and process teams to identify suitable agentic AI applications, particularly for go-to-market systems, while applying logging, auditing, naming, and change-management standards.

Lead product security improvements across global engineering teams by embedding security into the SDLC. Responsibilities include threat modeling, architecture and code reviews, cloud and data security assessments, vulnerability remediation, compliance risk analysis, security training, metrics development, and communicating application security posture. The role also mentors engineers and security champions while supporting Zero Trust architecture and continual improvement of security testing practices.

Lead Applecart’s internal AI adoption and governance strategy. Own the AI tools roadmap, data classification standards, usage guardrails, client confidentiality protections, incident response, and adoption reporting. Partner with Legal, Security, IT, Engineering, and business leaders to evaluate vendors, launch pilots, define success criteria, train employees, and build use-case libraries. The role combines strategic judgment, technical risk management, governance implementation, and organizational enablement in a high-confidentiality environment.

Manage and expand Klaviyo’s hospitality technology partner ecosystem, including PMS and wellness platforms. Build strategic plans, align executive and technical stakeholders, improve API integrations, and drive joint go-to-market campaigns, co-selling, pipeline, integration adoption, and revenue growth. Partner with marketing, sales, BDRs, customer success, and R&D teams while tracking partnership performance through Salesforce and product data.

Analyze clinician platform data to identify behavioral patterns, develop product and client-facing analytics, and communicate actionable insights. The role collaborates with product managers, analysts, engineers, and other data scientists on projects spanning data ingestion, analysis, and recommendations. Responsibilities also include contributing to data team strategy and applying statistical methods, SQL, Python data libraries, visualization, and distributed data processing techniques.

Lead validation strategy and architect scalable test frameworks for enterprise SSD firmware (NVMe front-end features). Drive AI/ML solutions for test optimization, own test infrastructure and CI/CD, perform root-cause analysis, mentor engineers, and influence firmware architecture and compliance across simulation, FPGA, and prototype hardware environments.

Develops and optimizes semiconductor deposition processes to improve quality, yield, cost, productivity, and manufacturing risk. Diagnoses process issues using failure analysis, FMEA, 8D, SPC, and FDC. Leads process and equipment evaluations, qualifications, fab transfers, tool matching, supplier collaboration, DOE optimization, defect reduction, and process control. Requires expertise in CVD, ALD, or PVD thin-film deposition, DRAM fabrication, advanced data analysis, and multi-chamber process optimization.

Develops, optimizes, and troubleshoots semiconductor manufacturing equipment and processes. Leads yield improvement, cost reduction, reliability, process qualification, equipment integration, supplier management, audits, and new product introduction activities. Uses SPC, FDC, RMS, APC, and data analysis to improve process stability and manufacturing performance across pilot and high-volume environments.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

Leads global HR strategy for Product Development and Design & Engineering teams. Responsibilities include organizational design, workforce planning, talent development, succession planning, performance frameworks, employee engagement, change management, people analytics, and executive coaching. The role partners with senior leaders, builds high-performing People teams, shapes culture, and aligns talent initiatives with business growth and innovation.

Develop and integrate AI/ML solutions for geospatial intelligence, including spatio-temporal modeling, data fusion, semantic enrichment, trajectory analytics, and remote sensing. Engineer multimodal data pipelines, evaluate models, prototype applications, and implement solutions across hardware and software stacks. Provide technical expertise, mentorship, strategic guidance, and client communication for government mission programs.

Design, develop, test, deploy, and maintain scalable Java and Python applications, RESTful APIs, and microservices. Manage API integrations, databases, performance optimization, security, cloud services, and ongoing application support. Collaborate with frontend, product, and QA teams to deliver secure, reliable capabilities supporting national security missions.

Leads Growth Marketing and owns enterprise pipeline across demand capture and demand creation motions. Builds integrated, account-based growth programs, aligns Marketing, Sales, Alliances, Customer, and Revenue Operations, and manages BDR, digital advertising, demand generation, analytics, operations, and AI enablement teams. Establishes operating systems, measurement frameworks, and performance reviews while optimizing investment, conversion, pipeline quality, and revenue outcomes. Develops leaders and scales a commercially accountable growth organization in a complex enterprise SaaS environment.

Owns secure semiconductor manufacturing test and provisioning on Advantest 93K ATE. Responsibilities include test architecture, SmarTest program development, first-silicon bring-up, characterization, HSIO and structural test integration, hardware coordination, silicon and ATE debug, production release, OSAT deployment, yield improvement, and high-volume manufacturing readiness.

Owns ATE test enablement, first-silicon bring-up, characterization, debugging, and production release for complex SoCs on Advantest 93K. Develops SmarTest programs, test methods, patterns, flows, binning strategies, and production content across wafer sort, final test, SLT, OSAT, and HVM. Leads ATE hardware readiness, HSIO validation, correlation, yield debugging, and cross-functional execution with design, DFT, firmware, vendors, contractors, and manufacturing partners.