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.

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.

Supports business development through partner prospecting, market and competitive research, pipeline tracking, internal reporting, partnership coordination, feedback organization, communications support, and white-label product testing. The intern also provides administrative support and completes a capstone project aligned with business development goals. The role requires an interest in music or technology services sales, strong communication and organization, and in-person availability in Los Angeles during the spring program.

Assist Product Management and Commercial Partnerships teams with artist and label development, release planning, marketing strategy, campaign analysis, pitch creation, DSP placement tracking, and administrative coordination. The intern will communicate with artists, clients, A&Rs, and internal marketing teams while maintaining artist assets, updating tools and spreadsheets, and supporting digital music distribution campaigns. This is an unpaid, for-credit, in-person internship in Los Angeles.

Supports A&R research and artist outreach by identifying emerging artists, analyzing charts and platform trends, preparing scouting reports, maintaining databases, coordinating meetings, and assisting with submission administration for music distribution projects.

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.

Own enterprise and strategic SaaS accounts by identifying new opportunities, managing complex sales cycles, conducting POCs, negotiating bespoke agreements, closing high-value deals, and driving adoption and expansion. The role includes territory planning, prospecting, stakeholder engagement, forecasting, tailored demos and business cases, pipeline optimization, and coaching team members while contributing to go-to-market improvements.

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.

The Customer Success Manager will manage 25-40 accounts, focusing on onboarding, upselling, and ensuring customer satisfaction with a technical healthcare product.

The Analytics Manager investigates business questions, delivers actionable insights, maintains data models and Looker dashboards, and communicates findings through presentations and visualizations. The role develops testing frameworks, subscription unit-economic models, marketing attribution, retention and cohort forecasts, and customer segmentation. It also partners with Product and Engineering to improve application tracking and customer behavior visibility.

Close high-volume inbound and outbound sales to travel advisors and small teams. Run individual and group SaaS demos, build outbound pipeline, follow up promptly, expand accounts into team plans, win back lapsed prospects, maintain accurate HubSpot pipelines, and share market feedback with marketing and product. The role requires consultative selling at speed, self-sourced pipeline creation, and strong performance in short-cycle SMB sales.

Own end-to-end delivery of core product features, build AI/ML pipelines for construction document and drawing analysis, and shape scalable frontend, backend, and ML architecture. Collaborate with co-founders and construction users, translate workflow needs into product improvements, establish engineering practices, and help grow the team. The role spans computer vision, LLM systems, frontend, backend, and production infrastructure in a fast-moving startup environment.