The Head of Customer Education will manage RecOps Consulting, the public-facing Academy, and Product Enablement, driving content strategy, consulting engagement models, certification and digital programs, and onboarding. The role requires hands-on leadership—managing individual contributors and early managers—building operating infrastructure (intake, capacity planning, engagement frameworks), representing Education externally, and partnering closely with CS, Sales, Product, and Marketing.

Veeva is hiring a Product Leader - Data to define and execute the roadmap for data products serving life sciences customers. The role leads cross-functional squads (data engineers, data scientists, analysts, operations) to deliver high-throughput pipelines, curation tools, APIs and web apps, leveraging GenAI and automation to ensure data quality and operational efficiency. Requires 10+ years in product management with proven data-product experience.

As a Product Leader on the Data team you will own product strategy and roadmaps, lead cross-functional squads of data engineers, data scientists, analysts and operations, and deliver data products including high-throughput pipelines, curation tools, web apps and data APIs. The role emphasizes GenAI and automation, data quality, and requires 10+ years of product management experience.

Lead Veeva Data Cloud product efforts across Clinical and Commercial domains: define and execute roadmaps for high-throughput data pipelines, curation tools, web apps and APIs, leveraging GenAI and automation to ensure data quality. Role requires 10+ years in product management; total compensation listed at 90,000–180,000 EUR.

Lead Tide’s Commercial Services growth in the UK by owning end-to-end Go-To-Market strategy (in-app, CRM, acquisition, sales), partnering with Product, BI and Finance to drive revenue forecasting, analytics-led insight, product positioning and high-impact omni-channel campaigns. Requires 7+ years' product marketing experience in B2B SaaS/fintech/lead-gen or adjacent industries.

Hands-on product manager for Armada's federal product area: engage directly with defense, intelligence, and federal customers to translate mission requirements into product features across hardware, platform, monitoring, and ISV layers; drive roadmap, partner with engineering on defense-grade security and mission assurance, support proposals and customer briefings, and align classified and unclassified needs with a unified product architecture. Requires U.S. citizenship and an active Secret clearance (TS/SCI preferred) and 5+ years relevant product management experience in infrastructure, platform, cloud, or defense compute products.

Responsible for defining the go-to-market strategy for Stripe’s startup customers: develop messaging and positioning, create campaign content and sales enablement assets, and partner with Campaigns, Field Marketing, and Sales to drive awareness, demand, and product adoption. Minimum requirement: 7+ years of marketing or product experience and strong verbal and written communication skills.

Own identity architecture, governance, and roadmap for Extreme Platform ONE, enabling human and agent identities, token lifecycle, provisioning, auditability, and cross-team enforcement. Requires 7+ years in product management for enterprise SaaS/platforms with deep IAM expertise (OAuth2, SAML, OIDC, RBAC/ABAC) and experience with enterprise security/compliance.

Define and drive GitHub’s multi-model AI strategy and platform roadmap; partner with OpenAI, Anthropic, Google, and applied science teams to translate research into scalable features. Lead growth experiments, go-to-market efforts, and metrics-driven product decisions. Qualifications include 5+ years in product/related roles (or Bachelor's +3+ years or equivalent) and 3+ years working on AI/ML experiences, developer tooling, or new product development.

The Strategy Director will own expansion and adoption of Crossix partner products with DSPs and other biddable media partners, lead go-to-market messaging, forecast adoption, ensure early adopter success, and run cross-functional workstreams with product, marketing, partnerships, and account teams. Requires 8+ years client-facing consulting/strategy experience, programmatic experience, analytical background, and life sciences domain experience.

The Strategy Director will expand Crossix partner products within DSPs and biddable media partners, lead go-to-market messaging, drive cross-functional workstreams with product, partnerships, and account teams, and own early adopter success. Requires 8+ years client-facing consulting/strategy experience, programmatic and analytical experience, and life sciences domain experience. Location listed as Boston, Massachusetts; role supports remote (Work Anywhere) arrangements.

DigitalOcean seeks a Senior Technical Product Marketing Manager / Technical Product Evangelist to produce deep technical content (decks, talks, demos, social content, workshops) aimed at AI and infrastructure audiences. Requires 5+ years in technical marketing, developer relations, solutions engineering, or similar; strong hands-on technical skills to build demos and workshop materials; experience working with executives and delivering presentations. Role is based in Seattle with regular in-person event presence.

Hands-on Technical Product Manager role focused on designing and delivering production AI Agent applications for Veeva QualityDocs (quality content management) and Veeva Training (LMS). Responsibilities include AI product feature design and development, data flow and orchestration, prompt design, model integration, and collaborating with engineering and UX. Requires 5+ years enterprise SaaS product/engineering/consulting experience with 2+ years focused on AI/ML, coding in Python, experience with AI frameworks/APIs, and strong communication and collaboration skills. Base pay listed: $75,000–$165,000 per year. Must be based in or within one hour of the Eastern Time zone and able to travel ~20%.

Veeva seeks a Technical Product Manager (AI) to design and deliver AI agent solutions for Veeva QualityDocs (regulated quality content management) and Veeva Training (LMS). Role involves hands-on design and development of AI features, building production AI agent applications (data flow, orchestration, prompts), working with engineering and UX to automate business processes, and presenting capabilities to stakeholders. Requires 5+ years enterprise SaaS product/technical experience (2+ years on AI/ML), coding in Python, familiarity with AI frameworks/APIs, LLMs, prompt engineering, and the ability to be located within one hour of the Eastern Time zone. Travel ~20%.

Veeva seeks a Technical Product Manager with 5+ years in enterprise SaaS product management, engineering, or consulting and 2+ years focused on AI/ML to design, build, and deliver production AI agent features (data flow, orchestration, prompts, model integration) for QualityDocs and Training. Role requires Python and hands-on experience with AI frameworks/APIs, strong collaboration and communication skills, ability to travel ~20%, and being based within one hour of the Eastern Time zone.

Seeking a technical product manager with 5+ years in enterprise SaaS and 2+ years focused on AI/ML to design and deliver production AI Agent applications (Docs to Data) across Veeva Quality Cloud. Role requires hands-on design, Python coding, experience with AI frameworks/APIs, data flow and model integration, collaboration with engineering and UX, and ability to travel ~20%. Based in or within one hour of the Eastern Time zone (Toronto, Canada listed).

Veeva seeks a Technical Product Manager (AI) to design and deliver production AI Agent applications that analyze documents and extract structured data for the Veeva Quality Cloud (Docs to Data). Requires 5+ years enterprise SaaS product/technical experience (2+ years in AI/ML), hands-on Python coding, experience with AI frameworks/APIs, LLMs, prompt engineering, data flow design, and model integration. Must be located within one hour of the Eastern Time zone and able to travel ~20%.

Veeva seeks a Technical Product Manager to lead design and delivery of AI agents that extract document content into structured data for Veeva Quality Cloud. Responsibilities include hands-on AI agent design, data flow and orchestration, model integration, and collaboration with engineering and UX. Requirements: 5+ years enterprise SaaS product/engineering/consulting experience, 2+ years on AI/ML applications, Python coding, experience with AI frameworks/APIs, LLMs and prompt engineering. Base salary range listed: $75,000–$165,000. Must be located within one hour of Eastern Time and able to travel ~20%.

Manager, Applied AI Strategy and Operations at Cloudera responsible for establishing global operating rhythms (MBRs), managing the AI adoption funnel, prioritizing accounts and use cases, defining strategic metrics, and supporting ecosystem and commercial GTM alignment. Requires strong analytical, quantitative, and stakeholder-communication skills and preferred 6+ years of experience in sales strategy, revenue operations, business operations, or consulting within enterprise software, big data, or AI/ML domains.

This role at Elastic's Control Plane team manages product vision and roadmap for Elastic Cloud backend and orchestration capabilities. Responsibilities include prioritizing with engineering, collaborating with sales & marketing on go-to-market and messaging, and gathering market, customer and usage insights. Requires 4+ years of product management experience with technical products, familiarity with cloud infrastructure and distributed data stores, and experience using AI tools. Location: Canada. Salary range listed: 128,300–203,000 CAD per year.