Top Tech Jobs & Startup Jobs

Leads product marketing strategy, positioning, messaging, market research, competitive intelligence, and go-to-market launches. Partners with Product, Sales, Communications, Legal, and other teams to drive product adoption and revenue. Develops sales enablement materials, manages early-access programs, tracks activation metrics, identifies product opportunities, and communicates launch performance to senior stakeholders.

Lead MacPaw’s global PR and communications strategy, shape corporate and product narratives, build relationships with top-tier technology media, manage reputation and industry events, establish PR KPIs and reporting, integrate AI into communications workflows, oversee budgets, and mentor a high-performing PR team.

Provide product and technical support for Blink, troubleshooting tickets from triage through resolution within SLAs. Act as a product expert, manage escalations, collaborate with Product and Engineering, improve documentation, and identify automation opportunities. Support both customers and internal colleagues, deliver enablement sessions, communicate clearly with nontechnical audiences, and develop scalable self-service solutions such as training videos, in-app help, and AI-powered workflows.

Build and maintain data pipelines integrating laboratory instruments, automation systems, operational platforms, APIs, robotics, databases, and files. Develop SQL transformations, data models, validation checks, orchestration, monitoring, and alerting to support analytics, dashboards, troubleshooting, and AI systems. Document infrastructure and datasets for regulatory compliance while collaborating with engineering, laboratory operations, data science, and automation teams. This is an on-site role with on-call and occasional weekend or holiday support.

Own senior client relationships and delivery success across multiple concurrent engagements. Lead engagement teams, manage scope, economics, profitability, and risk, and communicate with C-suite stakeholders. Develop team members, support recruiting, identify account growth opportunities, and contribute to business strategy. Collaborate with data, software, AI, and engineering specialists, using technical fluency to guide integrated solutions and deliver measurable client outcomes.

Serve as a strategic post-sales advisor helping enterprise customers achieve business outcomes with Mimica. Build customer success plans, provide product support, interpret process intelligence outputs, identify improvement opportunities, and deliver actionable recommendations. Collaborate with Sales, Marketing, Solution Engineering, Partners, Product, Engineering, and Machine Learning teams. Drive onboarding, training, adoption, account expansion, stakeholder alignment, and customer feedback for roadmap development.

Monitor applications, platforms, servers, hardware, and network connectivity in a 24/7 NOC. Investigate alerts, troubleshoot system and network errors, identify root causes, triage incidents to appropriate teams, document issues in tickets, and resolve problems within NOC scope using terminal commands. The role requires on-site day-shift work on a rotating schedule and strong networking, Linux, monitoring, communication, and troubleshooting skills.

Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads. Responsibilities include improving query execution, scheduling, resource allocation, reliability, workload routing, and compute efficiency across Spark and related systems. The role involves debugging performance bottlenecks, optimizing joins, scans, shuffles, caching, partitioning, and memory usage, and working with lakehouse formats and cloud object storage. Candidates will implement workload optimization algorithms and may contribute to open source or research.

Own Tomo’s data function, strategy, roadmap, platform health, and cross-functional measurement. Build and lead teams spanning data science, analytics, business intelligence, and data engineering. Design experiments, marketing attribution models, SQL queries, and dbt models while maintaining reliable data infrastructure. Partner with Product, Engineering, and executives to improve instrumentation, translate business questions into insights, and establish scalable data processes.

Design and manage CAD models, revisions, and bills of materials for physical products manufactured in-house. Develop prototypes, apply design-for-manufacturing expertise, and support the transition from rapid development to production. Collaborate with hardware, robotics, software, and field operations teams while improving engineering collaboration and CAD standards.