Top Tech Jobs & Startup Jobs

Build next-generation voice AI systems for consumer and business applications. Develop persistent memory, complex reasoning, speech pipelines, and production-grade agentic workflows. As an early technical contributor, the ML Engineer will help shape core architecture, take ambiguous concepts through production, and influence user interactions with advanced language models in a fast-paced pre-seed startup.

Design and execute software usability tests, run test scenarios, and prepare reports on test effectiveness. Role requires a Bachelor’s in Computer Science/Engineering (or equivalent) and 7+ years building, architecting, and troubleshooting large-scale infrastructure with a focus on reliability and scalability.

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.

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.

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.

Leads strategic pre-sales engagements for pricing technology solutions. Facilitates discovery and implementation workshops, translates business needs into requirements and functional designs, advises customers on pricing and transformation, develops estimates and proposals, negotiates Statements of Work, and partners with account executives, revenue teams, and solution architects. Builds executive stakeholder relationships and ensures smooth transition from sales to delivery.

Support C-suite executives with comprehensive calendar, meeting, event, travel, visa, expense, and credit-card coordination. Manage logistics, agendas, communications, expense reconciliation, and confidential information while anticipating executive needs. Create efficient workflows using AI and automation tools, adapt to changing priorities, and provide backup support to other executive assistants.