Top Artificial Intelligence Jobs

The Senior Product Marketer leads product marketing strategies, manages product launches, creates enablement materials, and ensures continuous market engagement and narrative sustainability within their domain, focusing on collaboration and impactful storytelling.

The Sales Engineer will support potential customers evaluating Hex, lead technical assessments, and partner with the Sales team to ensure customer success.

Lead product analytics to inform strategy and optimize user experience: translate business questions into analysis, build reliable analytics infrastructure, run A/B tests and ML/statistical analyses, track funnels and cohorts, support 0-to-1 product launches, and communicate actionable insights to cross-functional teams.

Serve as a customer-facing technical presales expert partnering with Account Executives to lead discovery, design tailored demos and POCs, drive technical validation, and enable smooth handoffs to onboarding and success. Influence deal strategy, reduce evaluation risk, advise product/GTM, and build repeatable playbooks to accelerate revenue outcomes.

Develop and manage software interfaces for rack management solutions, ensuring robust performance in AI systems and infrastructure. Collaborate across teams to enhance operational efficiency, employing skills in cloud-native environments and troubleshooting.

Leads global demand and supply planning, S&OP, sourcing, forecasting, inventory optimization, supplier engagement, and NPI transitions. Partners with Finance, Sales, Marketing, and Engineering to align supply strategies with business objectives. Identifies risks, improves operational processes and automation, tracks supply chain KPIs, and provides leadership across sourcing and planning functions.

Manages a portfolio of automotive dealer clients, focusing on retention, churn mitigation, revenue growth, upselling, and cross-selling Cox Automotive solutions. The role analyzes account performance, ROI, marketing trends, and customer data; leads virtual business reviews; develops growth strategies; supports onboarding; resolves client issues; manages Salesforce records and sales pipelines; and coordinates with internal teams to deliver successful client outcomes.

Design and own small-to-mid product features for desktop and mobile: create flows, wireframes, prototypes, apply and extend design systems, run user research and usability testing, collaborate with product and engineering, and use LLM/AI tools to accelerate discovery and prototyping.

Own a portfolio of dealership clients, building relationships, driving product utilization, retaining revenue, and identifying upsell opportunities. Analyze account performance, address risks and emergencies, develop client action plans, provide product guidance, and advocate for customer needs internally. The remote regional role requires collaboration, product knowledge, onsite and virtual client engagements, and travel of up to 50%.

Leads PagerDuty’s Solutions Consulting function, likely overseeing customer-facing technical solution strategy for digital operations management, cloud migration, DevOps modernization, AI/ML, and automation initiatives. The provided description contains limited role-specific responsibilities or qualifications and primarily covers company information, work model, benefits, and employment policies.

The Senior Solutions Consultant leads technical discovery, identifies customer roadblocks, designs integrations, and supports SaaS sales cycles. They answer technical questions in RFPs, RFIs, and security questionnaires; explain complex concepts to technical and executive stakeholders; support PagerDuty integrations; and partner with sales, product, and customer success teams. The role requires pre-sales experience, technical scripting and Linux knowledge, IT monitoring expertise, strong communication, independent multitasking, and customer-site travel as needed.

Leads sales planning, forecasting, quota and compensation design, capacity hiring, go-to-market strategy, and operational improvements. Partners with senior sales and cross-functional leaders to drive revenue growth, productivity, and process alignment. Manages and mentors sales operations staff while delivering strategic analysis and executive-level support.

The Content Marketing Specialist will own the content strategy, create various content formats, focus on SEO, and build community engagement while collaborating with multiple teams.

Own end-to-end B2B SaaS customer implementations from requirements discovery through configuration, integration scoping, testing, stakeholder management, and go-live. Manage timelines, dependencies, and multiple concurrent implementations while making product and backlog tradeoffs. Build delivery processes from scratch, identify recurring configuration needs, and partner with Sales, Product, and Engineering to improve implementation scalability.

Own revenue forecasting, business planning, performance reporting, financial modeling, and business analytics for the consumer business. Partner with leaders to define and analyze key metrics, deliver recurring performance updates and deep dives, and generate decision-support insights. Build models covering regional forecasts, LTV/CAC, content benchmarking, and marketing ROI. Improve FP&A processes, systems, reporting automation, data accuracy, and scalability.

Lead Coursera’s company-wide mobile product strategy and multi-quarter vision for iOS and Android learning apps. Own product execution from discovery through optimization, prioritize investments using data, experimentation, behavioral insights, and user research, and partner with engineering, design, data science, and marketing. Influence executive stakeholders, lead complex cross-functional initiatives, improve learner engagement and retention, and establish product quality standards across teams.

Leads consumer monetization strategy across pricing, promotions, packaging, lifecycle marketing, and retention. Establishes planning, forecasting, performance reviews, and commercial diagnostics while partnering with Product, Marketing, Analytics, Finance, Engineering, and Growth. Evaluates revenue, conversion, customer lifetime value, retention, profitability, and growth tradeoffs, influences senior stakeholders, and drives operational excellence across the monetization organization.

This role involves evolving Vercel's developer ecosystem strategy, managing sponsorships, enhancing visibility, and representing Vercel at key developer events.

Own the global quote-to-contract cycle, including deal reviews, approvals, structuring, and CPQ configuration. Partner with Sales, Finance, Legal, Product, Pricing, and other teams to execute complex deals, launch pricing and packaging, maintain revenue and opportunity data integrity, and improve forecasting. Analyze deal performance, develop sales enablement materials, streamline processes, and use AI and automation to scale revenue operations.

Own reliable billing, usage, and contract data pipelines; build dbt transformations, data models, semantic datasets, and finance reporting infrastructure. Resolve data quality issues, establish testing and documentation standards, support revenue recognition and forecasting, partner with Finance stakeholders, make architecture decisions, review code, and mentor engineers.

Own end-to-end delivery of core product features, build AI/ML pipelines for construction document and drawing analysis, and shape scalable frontend, backend, and ML architecture. Collaborate with co-founders and construction users, translate workflow needs into product improvements, establish engineering practices, and help grow the team. The role spans computer vision, LLM systems, frontend, backend, and production infrastructure in a fast-moving startup environment.