Jobs at Anaconda

Provide end-user IT support across macOS, Windows, and Linux: manage accounts, imaging, device provisioning, onboarding/offboarding, troubleshoot hardware/software/A/V/network issues, maintain ticketing and inventory, train users, use AI tools to speed triage, and mentor teammates while supporting infrastructure projects.

Own the full sales cycle for mid-market B2B SaaS opportunities, from pipeline creation and discovery through close and customer handoff. Build relationships with technical and business stakeholders, translate developer and AI platform capabilities into business outcomes, coordinate technical validation, manage forecasts, and identify expansion opportunities. The role requires proactive outbound selling, consultative deal execution, AI-enabled sales workflows, and the ability to work with customers in the CST time zone.

The Staff People Partner coaches managers through complex performance, employee relations, talent, compensation, and organizational matters. They independently investigate and resolve sensitive employee situations, advise on promotions and mobility, surface organizational insights, and collaborate with People, Legal, Compensation, and other specialists. The role also requires building AI-enabled workflows to improve research, documentation, decision support, manager effectiveness, and People Team scalability.

Administer Salesforce, Nue CPQ, enrichment tools, and GTM integrations supporting quote-to-cash operations. Maintain product catalogs, pricing, approval workflows, data quality, integrations, user access, and request intake. Troubleshoot sync failures, configure declarative Salesforce functionality, and deploy AI-assisted workflows and automations. Partner with Finance, Deal Desk, Sales, and Customer Success while following disciplined testing, deployment, and rollback processes.

Own GTM operations for the sales organization, including territory design, account segmentation, quota distribution, forecast accuracy, pipeline discipline, intake management, variance analysis, and operational process improvement. Partner directly with sales leadership in pipeline reviews, forecast calls, and staff meetings. Build scalable frameworks, document precedents, resolve field requests, identify data quality issues, and provide actionable insights to improve coverage, attainment, and forecasting.

Own the full sales cycle for commercial accounts, from outbound prospecting and discovery through closing and implementation handoff. Build relationships with technical and business stakeholders, manage Salesforce pipeline data, forecast accurately, plan accounts, and achieve revenue targets. The role requires consultative B2B SaaS selling and the ability to explain technical AI, machine learning, data science, and open-source solutions. This is a fully remote position restricted to candidates in Central, Mountain, or Pacific time zones.

Leads and develops a US and EMEA sales engineering team, hiring talent and establishing performance standards. Builds sales engineering programs and go-to-market motions for new AI and data science products, integrates teams with sales pods, and channels customer feedback to product engineering. Creates technical enablement content, manages cross-functional relationships, and drives deal velocity, close rates, expansion, team retention, and leadership development.

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 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.

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.

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.

Drive inbound lead follow-up and targeted outbound campaigns; research and develop enterprise accounts; maintain pipeline and CRM records; use AI tools to identify buying signals, build AI-assisted account research briefs, map personas, and tailor outreach to convert meetings into opportunities.

Provide commercial legal counsel to revenue teams, negotiate large enterprise deals, draft templates and playbooks, manage IP/open-source and data protection issues, build scalable AI-enabled workflows, advise cross-functional teams, and mentor junior lawyers to accelerate deal velocity and reduce escalations.