Jobs at Anaconda

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.

Partner with Product & Engineering leadership to manage the P&E P&L, build financial models and business cases, deliver variance analysis and forecasting, design reporting frameworks, guide headcount and build-vs-buy decisions, and apply AI and analytics to optimize cloud and engineering spend to inform strategic trade-offs under ambiguity.

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.

Own employee lifecycle administration and HR systems while improving workflows through automation and AI. Administer Rippling and other People tech, configure automations, maintain data integrity, support hires/promotions/offboarding, operationalize recurring People programs, build documentation and self-service resources, and partner with People teams to increase operational leverage and employee satisfaction.

Lead and deliver multiple concurrent engineering programs by defining objectives, success metrics, and milestones; facilitate PI planning; identify and resolve risks; build program management processes and tooling from scratch; use AI tools to automate workflows; communicate progress and impacts to senior leadership and stakeholders to ensure reliable delivery.

Own co-marketing strategy and execution with strategic hyperscaler and platform partners. Design joint GTM programs, secure and manage MDF, integrate partners into campaigns, shape messaging for technical and business audiences, measure program ROI and pipeline impact, and build partner-specific sales enablement to drive partner-influenced deals.

Lead a team to develop data strategy and insights across multiple business functions, driving analytics evolution and ensuring data quality and governance.

Own the full sales cycle for mid-market accounts (1,000–10,000 employees), build net-new pipeline, engage technical and business stakeholders, coordinate demos/POCs with Sales Engineering, leverage AI tools for outreach and pipeline management, and drive deals to close while partnering with Customer Success for expansion and onboarding.

Own channel and systems integrator relationships in North America, build partner-sourced pipeline and co-sell motion, structure channel agreements and programs, maintain pipeline hygiene in Salesforce and Clari, coordinate partners with product and field sales teams, and drive partner-led proofs of concept to closed deals.

Serve as the CLO's Chief of Staff and lead Legal Operations: manage a small team and global legal budget, own legal vendor and tech strategy (CLM, e-billing, litigation tools), build dashboards and metrics, drive cross-functional integration, and implement AI-driven automation to improve reporting, decision-making, and operational efficiency across legal, corporate development, and IT.

The Technical Product Marketing Manager will develop compelling messaging for Anaconda's AI and data science tools, lead go-to-market strategies, and engage with the open source community to enhance product adoption and positioning.

Own the full enterprise sales cycle across Central/Mountain/Pacific US: generate pipeline, lead discovery with technical and business stakeholders, close net-new ARR, collaborate with Sales Engineering and Customer Success, use AI tools and Salesforce for forecasting, and support implementations and expansions in large, complex organizations.

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.