Top Tech Jobs & Startup Jobs

Build and lead Mecka AI’s business-data acquisition function. Source and close strategic B2B data partnerships, establish outbound sales processes, manage CRM workflows and forecasts, hire and coach GTM and sales staff, negotiate commercial agreements, coordinate Legal and technical reviews, and ensure signed partnerships reach successful data delivery and activation.

Conduct outbound prospecting to identify and engage potential data partners. Research target accounts and decision-makers, personalize outreach, qualify partnership opportunities, and create substantive handoffs for the Data Partnerships Lead or Account Executive. Maintain accurate CRM records, follow up consistently, surface data rights and delivery considerations, and improve targeting and messaging based on feedback, response patterns, and objections.

Own B2B data partnership sales from discovery through negotiation, closing, and first accepted delivery. Qualify opportunities, align business, technical, and legal stakeholders, develop proposals, negotiate terms, maintain pipeline forecasts, coordinate onboarding, resolve partner blockers, and identify expansion opportunities. Source strategic accounts independently while building trusted relationships with robotics, AI, engineering, and manufacturing organizations.

Leads global sales operations and analytics, including performance dashboards, quota and incentive design, market sizing, target account planning, CRM governance, resource allocation, and executive business reviews. Partners with Finance, HR, and field acquisition teams to improve pipeline performance, data quality, commissions, and expansion-market execution.

Lead end-to-end launches of new international markets, from feasibility assessment and legal entity setup through infrastructure, hiring, commercial launch, and operational handoff. Coordinate legal, financial, operational, and commercial workstreams; establish banking, logistics, vendor, compliance, and KPI processes; recruit founding teams; and continuously improve the global expansion playbook. The role requires independent execution in unfamiliar international environments and willingness to travel.

Own end-to-end delivery programs for robotics and embodied AI datasets. Coordinate Sales, Data Operations, Labeling, and Engineering to meet customer specifications, volumes, quality standards, and timelines. Build scripts, QA checks, packaging tools, manifests, dashboards, and reporting to automate delivery workflows. Define dataset standards, monitor metrics, manage escalations, and serve as a senior customer-facing delivery lead for AI-lab accounts.

Lead the US commercial robotics division from zero to one by developing GTM strategy, targeting high-value verticals, generating enterprise pipeline, closing complex CapEx and recurring RaaS deals, building strategic channels, and accelerating multi-site deployments. The role requires executive-level value selling focused on ROI, labor savings, operational efficiency, and facility performance.

Build and maintain full-stack software for scientists and technical users, including interfaces, backend services, data models, integrations, and scientific workflow tools. Work directly with laboratory users to understand protocols, instruments, and experimental records, then translate needs into practical products. Own development from prototyping through production, including testing, deployment, monitoring, access controls, debugging, and performance improvements. Make product decisions, validate solutions with users, and support reliable scientific data workflows.

Own and scale Mecka AI’s global supply acquisition engine across referral, community, field, organic, partnership, and paid channels. Manage funnel performance, activation, capacity planning, channel economics, contributor retention, brand strategy, and partner programs. Build portable growth playbooks across markets, hire and lead a growth team, and optimize acquisition quality, speed, volume, and cost across APAC, South America, and North America.

Design and operate backend systems that ingest, process, store, and serve petabyte-scale video and sensor data. Build high-throughput upload/ingest, processing, indexing, retrieval, and access-control services. Own service quality, latency, uptime, capacity planning, cost, observability, and incident response. Coordinate distributed compute across cloud infrastructure and large GPU fleets to make data movement reliable and performant.