Top Artificial Intelligence Jobs

Supports Squarespace’s inorganic growth strategy by identifying, evaluating, and executing acquisitions and investment opportunities. Responsibilities include industry and company analysis, financial modeling, valuation, due diligence, transaction execution, strategic planning, and executive-facing presentations. The role partners with product, marketing, finance, legal, and people teams and requires strong knowledge of technology companies, SaaS KPIs, M&A, and corporate development.

Leads complex, cross-functional AI and machine learning programs from research through production. Partners with senior product and engineering leaders to define roadmaps, staffing, milestones, governance, metrics, technical decisions, launch readiness, and adoption. The role spans ML research, infrastructure, platform engineering, safety, compliance, and product teams while scaling operating processes and using AI tools to automate program management.

Conduct commercially oriented AI/ML research with internal data scientists, engineers, and business stakeholders. Formulate problems, develop algorithms and models, run experiments, create benchmarks, evaluate results, and deliver tested Python code. Contribute to production-scale AI applications, reusable research assets, and high-impact initiatives. Communicate findings through presentations, publications, and white papers while researching areas such as synthetic data, foundation models, reinforcement learning, multimodal AI, multi-agent systems, formal reasoning, and privacy-preserving machine learning.

Own product initiatives from discovery through release, partnering with engineering, design, leadership, and enterprise clients. Translate complex financial workflows into scalable product requirements, prioritize roadmaps, lead experimentation, and improve product documentation and team processes. The role requires technical fluency, systems thinking, strong communication, and the ability to operate independently in a fast-moving, remote-first startup.

Supports product discovery, delivery, and iteration across consumer and B2B SaaS products. Partners with product managers, designers, engineers, clients, and leadership to shape solutions, document requirements, scope and ship features, participate in Agile rituals, maintain product organization, and contribute to roadmap decisions. The role emphasizes ownership, clear communication, systems thinking, user empathy, and growth in a remote startup environment.

Privacy and Regulatory Counsel will advise a technology company on U.S. and international privacy, consumer protection, regulatory, AI, cybersecurity, and emerging technology matters. Responsibilities include developing compliance and governance programs, interpreting regulations, advising business and product teams, negotiating commercial agreements, supporting responsible AI policies, and monitoring legislative developments. The role requires collaboration with cross-functional stakeholders and provides broader corporate legal support.

Drive full-cycle U.S. enterprise sales for humanoid robotics solutions, targeting senior living and healthcare operators. Responsibilities include prospecting, executive engagement, complex deal closing, live hardware demonstrations, pilot-to-enterprise expansion, customer deployment support, CRM management, and market feedback to product and engineering teams. The role requires 40–50% travel and collaboration with an Australia-based team.

Leads complex business transformation initiatives from problem discovery through solution delivery, adoption, and measurable value realization. The role identifies workflow improvements, shapes products and capabilities, evaluates AI and automation opportunities, coordinates cross-functional teams, manages risks and tradeoffs, and establishes success metrics. It requires executive stakeholder influence, technical fluency, business-case development, organizational change leadership, and accountability for scaling, refining, or discontinuing initiatives based on evidence.

Lead a North American team of enterprise account managers responsible for SaaS upsells, cross-sells, AI sales, adoption, and customer expansion. Recruit, retain, and develop quota-carrying sellers; establish growth processes; identify install-base opportunities; coordinate with sales, marketing, customer success, legal, and operations; and participate in customer engagements and negotiations.

Conduct applied AI research spanning multimodal intelligence, recommendation, ranking, prediction, foundation models, agents, and decision-making. Formulate product-driven research problems, design rigorous experiments, develop models and datasets, create evaluations, and translate successful methods into production systems. Collaborate with engineering and product teams to improve campaign strategies, creator-brand matching, content understanding, and marketplace outcomes.

Drives new enterprise technology business across Louisiana and Mississippi state government and higher education accounts. Identifies opportunities, builds executive relationships, develops strategic account plans, leads complex sales cycles, manages partner and internal account teams, and closes deals across HPE’s portfolio. Requires strong public-sector selling, business acumen, consultative selling, negotiation, and technology expertise, with approximately 50% travel throughout the territory.

Drives new enterprise technology business across state government and higher education accounts in the Northern New York territory. Identifies opportunities, builds executive relationships, manages complex sales cycles, develops strategic account plans, leads cross-functional and partner teams, and closes deals across HPE’s infrastructure, cloud, AI, software, networking, storage, and services portfolio. The role requires approximately 50% travel throughout the assigned territory.

Manages major U.S. Department of Defense accounts, builds strategic relationships, develops net-new business, creates sales pipelines, leads complex cross-business-unit deals, and closes large technology engagements. The role aligns HPE’s IT solutions with customer priorities, coordinates internal and partner teams, develops account plans, engages executive decision-makers, and drives revenue, profitability, customer satisfaction, and long-term account growth.

Leads product strategy and roadmap execution for autonomous campus networking solutions spanning wired, wireless, security, cloud-managed, and data center environments. Translates customer challenges and operational data into AI-powered product capabilities, partners with engineering and architecture teams, develops business cases and go-to-market strategies, and drives innovation through prototypes, experimentation, automation, and analytics. Represents the company with customers, partners, executives, and industry stakeholders.

Architect and own marketing data infrastructure, including Databricks pipelines, Gold Layer tables, semantic models, and documentation for self-service analytics. Lead cross-functional data initiatives, ensure reliability and quality, mentor engineers, and build production LLM and agent systems. Translate ambiguous business needs into scalable solutions, automate marketing and go-to-market workflows with AI, and deliver high-quality Python and SQL while overseeing AI-generated code.

Architect and own marketing data infrastructure, including Databricks pipelines, Gold Layer tables, semantic models, and ETL/ELT workflows. Build trusted data products for analytics, automation, and AI agents; translate ambiguous business needs into scalable solutions; lead cross-team initiatives; ensure reliability and data quality; mentor engineers and analysts; and develop, evaluate, and monitor production LLM and agent systems using Python and SQL.

Architect and own marketing data infrastructure, including Databricks pipelines, Gold Layer tables, semantic models, and trusted analytics foundations. Lead cross-functional data initiatives, translate ambiguous business needs into scalable solutions, ensure data quality and reliability, and mentor engineers and analysts. Build, evaluate, and monitor production LLM and agent systems, automate marketing workflows with AI, and deliver high-quality Python and SQL solutions supporting Marketing, Sales, and R&D.

Architects Samsara’s marketing data and AI foundation, including Databricks pipelines, Gold Layer tables, semantic models, and documentation for self-service analytics. Leads complex cross-functional data initiatives, translates ambiguous business needs into scalable solutions, mentors engineers, and ensures data reliability and quality. Builds and evaluates production LLM and agent systems, automates marketing and go-to-market workflows with AI, and delivers high-quality Python and SQL while supporting sales, marketing, and product teams.

Build Synthpop’s product marketing function from the ground up, owning positioning, messaging, launches, campaigns, customer research, product storytelling, demos, sales enablement, and performance measurement. Partner cross-functionally with Product, Engineering, Sales, Customer Success, Design, and leadership to market healthcare AI workflows and translate complex technology into compelling customer outcomes. Establish scalable marketing processes, content standards, research practices, and launch operations while working primarily from the Boston/Cambridge office.

Define and deliver healthcare platform features by translating customer and market needs into product strategy, roadmaps, prototypes, and measurable outcomes. Partner cross-functionally with Technology, Clinical Content, Commercial, Legal, Sales, Marketing, and Customer Success. Use AI-enabled methods to accelerate discovery and validation while establishing quality, governance, clinical oversight, trust, and commercialization practices for reliable healthcare experiences.

Own the clinical infrastructure and program portfolio powering Arine’s medication management platform. Evolve the clinical recommendation engine, expand data inputs, standardize program configuration, and create repeatable frameworks for launching and scaling clinical programs. Partner with clinical, engineering, data science, implementation, and customer success teams to translate needs into requirements, improve onboarding, maintain regulatory alignment, and prioritize work using clinical safety, user value, and business impact.

Build and manage InvestCloud’s commercial transfer agent network for the Altic private markets platform. Responsibilities include identifying and prioritizing transfer agent partners, structuring and negotiating pricing and contracts, coordinating with Legal, managing long-term relationships, overseeing renewals and escalations, and coordinating handoffs to Product and Engineering for integration. The role requires US asset management and transfer agency expertise, commercial partnership experience, and use of AI-enabled research tools.

Build and lead Telnyx’s North American enterprise sales organization. Recruit and scale enterprise account executives, develop named-account strategies, establish technical and outcome-led sales motions, and win complex seven-figure enterprise relationships. Partner with field development engineers and cross-functional teams to manage evaluations, executive relationships, forecasting, pipeline, deal inspection, and talent development. The role owns repeatable enterprise sales plays, predictable revenue growth, and expansion of strategic customer relationships.

Architects, develops, and integrates AI and agentic systems that automate nuclear engineering, safety, and licensing workflows. Defines system requirements and traceability frameworks, performs AI feasibility and risk trade studies, curates datasets, develops secure data pipelines, and integrates modeling and simulation tools. The role also involves programming, testing, documenting, and maintaining scientific software and simulation-based systems using technologies such as Python, MATLAB, and Simulink.

Lead US&C revenue enablement strategy and execution for Uber’s commercial sales organization. Build onboarding, sales capability, manager development, and GTM readiness programs; drive adoption of products, processes, technology, and AI; use sales data and enablement platforms to measure productivity and business impact; and lead the regional enablement team while partnering with senior Sales, Operations, Product, Marketing, and global Enablement stakeholders.