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Lead Anaconda's product, solutions, partner, developer, and analyst marketing to establish category authority and translate technical capabilities into clear narratives. Drive ICP refinement, orchestrate disciplined launches, align product and GTM, leverage platform usage data, and scale analyst and partner programs. Build and lead a multidisciplinary, high-performing team tied to pipeline, ARR, and measurable commercial outcomes.

Senior Executive Assistant partners with executives to manage complex calendars, travel, expenses, and high-visibility initiatives. Uses AI and automation to streamline tasks, coordinates events and vendors, produces executive reports, and provides cross-functional support while protecting leaders' time and enabling decision-making.

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.

As a Business Intelligence Analyst, you will manage analytics projects, build dashboards and reports using SQL and Snowflake, and work with stakeholders to translate data needs into actionable insights.

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.

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.

Own end-to-end BI projects: build and maintain dbt models and SQL pipelines in Snowflake, architect OMNI dashboards, ensure data quality, automate reporting, apply statistical methods for insights, lead ROI and causal analyses, and partner with finance, GTM, and customer success to drive data-informed decisions.

The Mid-Market Account Executive is responsible for driving sales and building relationships with mid-market clients, managing the sales cycle, and collaborating with cross-functional teams to deliver solutions that enhance business outcomes.

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.