Jobs at Alteryx

Design, develop, and maintain technical learning experiences for software and SaaS products. Partner with technical SMEs to define competencies, create hands-on labs, simulations, assessments, and curriculum, ensure content alignment with product releases, scale reusable assets, support facilitator readiness, and use AI-assisted tools to improve development efficiency and learner outcomes.

Provide expert commercial legal counsel for complex customer-facing transactions across North America. Draft, review, and negotiate SaaS, licensing, services, NDAs, DPAs, and BAAs. Advise sales and senior leaders on legal risk and compliance, improve contract playbooks and processes, lead training and enablement, manage escalations and outside counsel, and partner cross-functionally to drive deal velocity while protecting company interests.

Design, build, operate, and evolve backend services and runtime infrastructure for cloud orchestration and job execution. Own distributed, asynchronous systems, APIs, workers, persistence, and service-to-service coordination. Improve reliability, observability, testing, and operational tooling; lead cross-team designs and mentor engineers.

Lead strategy and delivery of customer experience and customer success technology platforms. Own roadmap, vendor management, cross-functional partnerships, and a team delivering web and AI-enabled solutions to improve engagement, self-service, support productivity, and adoption.

Own product marketing for Alteryx's CDP & Data Connectivity portfolio (Live Query, OCR, Intel Suite, Data Products, Connect). Define positioning, develop persona-driven messaging for IT and data teams, build launch and enablement materials, create sales/demo assets, monitor competitors, and align ecosystem and GTM partners to drive adoption and revenue.

The Lead Product Manager oversees product lifecycle management, leading projects and teams, providing specialized knowledge, and influencing policies within the company.

Drive analytic-led digital transformation by prospecting, qualifying, and closing enterprise accounts. Build C-suite and multi-stakeholder relationships, develop account plans and deal strategies, coordinate pre- and post-sales teams, grow pipeline, and demonstrate proficiency in the Alteryx platform to articulate business value and drive adoption and subscription-based revenue.

Lead and coach a high-performing alliances team managing strategic named partners to drive partner-influenced revenue, joint GTM, demand generation, and enterprise AI adoption. Define alliance strategy and governance, drive complex cross-functional sales, enable partner data & AI solutions, resolve escalations, and mentor team members.

Design and implement high-quality React + TypeScript applications and shared MUI component libraries. Lead frontend architecture, own features end-to-end, ensure accessibility, performance, reliability, and mentor teammates. Collaborate with product, design, and backend teams and help define and ship trustworthy AI-enabled UX features.

Build and operate the Data Plane Platform: design and implement scalable backend services in Go, REST APIs, and distributed systems; contribute full-stack using React and TypeScript for platform management; develop and run production cloud applications on AWS/GCP; ensure reliability through testing, CI/CD, and observability; troubleshoot across code and infrastructure and drive technical ownership.

Lead and grow an 8-10 person engineering team to design, build, and operate a multi-cloud data plane platform. Drive roadmap, delivery, release readiness, operational excellence, CI/CD, observability, incident management, and cross-functional partnerships with Product, Security, Infrastructure, and SRE.

Lead technology strategy, delivery, and operations for Sales and Partner domains. Own Salesforce-based platform roadmap, platform health, integrations, and team delivery. Manage cross-functional teams, governance, architecture alignment, incident/change processes, and KPIs to improve seller productivity and accelerate revenue.

Full-cycle inside sales role focusing on prospecting, qualifying, and closing software deals. Build trusted relationships, demo Alteryx, grow pipeline via outbound/inbound outreach, manage forecasts, and collaborate on account strategies to drive revenue and expansions.

Lead design and delivery of enterprise analytics and AI governance frameworks, operating models, CoEs, and maturity assessments. Advise on Responsible AI, generative AI governance, adoption strategies, change management, and stakeholder alignment. Create reusable methodologies, run workshops, assess maturity, and mentor consultants to scale trusted analytics, automation, and AI across large organizations.

Lead development of AI-assisted product design tooling and agentic systems. Build reusable AI infrastructure, prototypes, and design-system patterns; drive adoption across Product, Design, and Engineering; mentor teams and establish responsible AI practices to scale AI-enabled product development.

Manage a territory of ~60 existing customers to drive renewals, upsells, and expansions. Run ROI/value meetings with executives, forecast revenue, maintain 3x pipeline coverage, and leverage partners. Drive product adoption, negotiate renewals, and meet quarterly quotas with ~25% travel.

The role involves enhancing developer productivity by improving CI/CD, automated testing, and integrating AI-based tools, focusing on operational excellence and collaboration with teams.

Generate qualified sales opportunities through inbound lead response and targeted outbound prospecting. Collaborate with Account Executives, manage territory and small deals/renewals, perform account mapping and prospecting strategy, high-volume dialing, lead nurture, and communicate Alteryx business value to executives and line-of-business stakeholders.

Lead strategy, delivery, and optimization of marketing enterprise applications. Partner with Marketing and cross-functional teams to drive MarTech roadmap, integrations, governance, vendor and budget management, and team leadership to enable campaign execution, lead management, analytics, and AI-driven marketing capabilities.

The Sales Engineer will provide technical expertise, product demonstrations, and solutions for enterprise customers in analytics, AI, and data automation. This role requires a strong understanding of cloud data integration and collaboration with sales teams to drive success.