Top Tech Jobs & Startup Jobs

Manage inbound leads, conduct targeted outbound prospecting, research enterprise accounts, identify buying signals, maintain sales pipeline records, and qualify meetings into opportunities. The role uses AI-assisted research, account scoring, persona mapping, and tailored messaging to engage data science, machine learning, IT, security, and procurement stakeholders.

Lead full-cycle go-to-market recruiting, primarily for sales and Enterprise Account Executive roles. Develop sourcing strategies, provide talent-market insights, advise hiring managers, improve candidate experience and recruiting processes, and partner with sales, People, Legal, and Finance teams. Manage multiple requisitions while supporting scalable hiring practices, strong pipelines, efficient time-to-fill, offer acceptance, quality of hire, and retention across high-growth GTM organizations.

Leads the technical evolution of Kilo Code, a high-scale VS Code AI coding extension. Responsibilities include setting architecture and performance strategy, building advanced AI-assisted coding features, driving cross-team technical roadmaps, mentoring engineers, owning production delivery, optimizing context and token usage, reducing technical debt, and partnering with Product and Design. The role requires hands-on software development, technical leadership, developer-tools expertise, TypeScript and Node.js proficiency, large-scale performance optimization, AI workflow experience, and Eastern Time Zone availability.

Own Anaconda’s design system as a product, including tokens, components, documentation, governance, and code components. Lead migration to shadcn/ui and Storybook across two product surfaces while partnering with engineering. Establish AI-forward patterns, tooling, and workflows for agentic experiences, prototype in production code, review AI-generated output, and elevate a senior design team through influence.

Own Anaconda’s design system across Figma, design tokens, documentation, and production code components. Lead migration to shadcn/ui and Storybook, establish governance and release processes, and create AI-forward patterns for agentic product experiences. Partner closely with engineering, prototype in TypeScript and React, review AI-generated code, and influence a senior design team through critique and pairing.

Own Anaconda’s NVIDIA partnership and broader AI infrastructure alliance portfolio. Build strategic relationships with silicon, hardware, and infrastructure partners; drive technical integrations, product roadmap influence, joint go-to-market programs, co-selling, pipeline, and direct and influenced revenue. Negotiate partnership and OEM agreements, coordinate Product, Engineering, Sales, and Marketing stakeholders, manage partnership health, and structure complex business development and co-investment deals.

Lead technical discovery, solution design, demonstrations, and proof-of-concept support for Anaconda’s AI and data science platform across EMEA. Partner with account executives on complex deals, create reusable technical content, represent customer needs to product and engineering, and coordinate with cross-functional teams through implementation handoff. Manage multiple opportunities independently while improving technical win rates, deal expansion, sales velocity, and regional pipeline development.

Build and lead a global channel and systems integrator motion: design partner programs, enable and manage VAR/SI relationships, drive partner-sourced pipeline and revenue, co-sell with regional sales teams across US/EMEA/APJ, manage partner pipeline in CRM, and hire/coach partner managers to scale the channel.

Own the full sales cycle for mid-market accounts (1,000-10,000 employees). Build pipeline, lead discovery, coordinate POCs/demos with Sales Engineering, close deals, forecast accurately, and partner with Customer Success and Product to drive expansion and onboarding.

Lead development of the production toolchain that compiles complex Python packages (e.g., NumPy, SciPy, PyTorch). Build and maintain build/release pipelines, create and review conda recipes, automate processes, mentor engineers, run incident response and postmortems, and advise leadership on technical tradeoffs. Partner with distribution and wheels teams and validate AI-assisted code where used.