Top Tech Jobs & Startup Jobs

Supports the GTM Lead and founders across sales, growth, and content. Responsibilities include creating technical content for AI products, running growth experiments, supporting outbound initiatives, building the sales funnel, communicating with technical buyers, and collaborating with engineering in an early-stage environment.

Build and ship full-stack features for an AI agent platform, rapidly prototype and iterate with pilot customers, and work hands-on with LLMs, agents, voice AI, and modern AI coding tools. The role also expects product ownership, independent opinions, strong engineering fundamentals, comfort with ambiguity, and a demonstrated passion for building through projects, hackathons, or open source.

Build Lingopal’s go-to-market motion for its evolving AI agent platform. Develop positioning, target accounts, outbound strategy, sales processes, and pricing inputs. Own enterprise sales from prospecting through discovery, pilots, and closing across customer-support-heavy enterprises and scaling AI-agent companies. Engage senior buyers including Chief AI Officers, COOs, and CTOs, while feeding market insights back into product strategy.

Build and own marketing measurement, attribution, experimentation, and analytics for performance, influencer, and lifecycle marketing. Responsibilities include creating dashboards, debugging attribution across advertising platforms and CRM systems, designing incrementality and A/B tests, analyzing CAC, ROAS, payback, cohorts, LTV, and channel efficiency, developing attribution taxonomies and instrumentation, and translating findings into recommendations for marketing, product, finance, and executive stakeholders.

Develop and optimize real-time motion planning algorithms for a high-DOF mobile manipulator, integrate planning with perception and control, evaluate modern techniques, make architectural decisions, maintain high software standards, and mentor junior engineers.

Build and maintain an agentic platform that transforms high-stakes medical and legal casework into structured context. Work across the full stack: agent architectures, eval frameworks, data ingestion/indexing, and user-facing tooling. Ship workflows, design reliability-focused evals and guardrails, iterate with user feedback, and set patterns for AI-native development in a healthcare context.

Lead development of the local mobility and safety stack: build high-performance C++ pipelines that consume AI costmaps, architect real-time optimization-based local planners (MPC/MPPI), enforce center-of-mass and traction constraints, implement deterministic safety fallbacks, and interface planned trajectories with Whole-Body Control for field-deployed humanoid robots.

Founding front-end engineer to design and build Flick's editor UI (canvas, timeline, node graph, playback). Lead architecture, prototype creative workflows, optimize complex UX interactions, establish code quality and performance practices, collaborate with design/product/AI backend, and drive key technical and product decisions.

Lead creation of an internal AI-native OS: build agents, automations, workflows, playbooks, and tooling. Identify high-leverage AI opportunities, drive cross-functional adoption, set usage standards, partner on infrastructure, and convert ambiguous priorities into executable systems. On-site role enabling rapid iteration and company-wide AI enablement.

Develop and deploy foundation and world models (vision-language(-action), multimodal, action-conditioned) for robotic perception, prediction, planning, and high-precision control. Integrate multimodal data, train models for long-horizon planning and simulation, and optimize production-grade models for deployment on RoboForce robotic platforms.