About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.
\nAs a Product Marketing MBA intern, you will contribute to high-value projects supporting the Cloudflare One go-to-market. These projects will challenge your growth in key product marketing capabilities, including research for customer insights, strategic positioning, content development, and enablement.
\nWhile exact projects will depend on internal priorities at the time of the internship, potential areas of focus include:
\nDesirable Skills, Knowledge, and Experience:
\nCompensation Compensation for this role is $50–$55/hr, depending on level of experience.
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\nThis role sits at the intersection of AI/ML, autonomy, model lifecycle, infrastructure, and product strategy. The PM partners closely with engineering, AI research, Hivemind Solutions, and field teams to deliver the tooling that enables sovereign autonomy, AI Factories at the edge, and continuous learning,capabilities that are central to Shield AI's strategic direction.
\nThis is a high-impact role for an experienced product leader excited to define how foundation models are trained, validated, governed, and deployed across thousands of autonomous systems in highly contested environments.
\nResponsibilities:
\nOwn the roadmap for foundation model training workflows, including dataset ingestion, curation, labeling, synthetic data generation, domain model training, and distillation pipelines. Define requirements for world models, robotics models, and VLA-based training, evaluation, and specialization. Lead the evolution of MLOps capabilities in Forge, including data lineage, experiment tracking, model versioning, and scalable evaluation suites.
\nDefine product requirements for synthetic data generation, simulation-integrated data flywheels, and automated scenario generation. Partner with Digital Twin, Simulation, and autonomy teams to convert natural-language mission inputs into data needs, training procedures, and model variants.
\nLead the development of model governance and auditability tooling, including model cards, dataset rights, lineage tracking, safety gates, and compliance evidence. Build guardrails and workflows to safely deploy models onto edge hardware in disconnected, GPS- or comms-denied environments. Partner with Safety, Certification, Cyber, and Engineering teams to ensure traceability and evaluation pipelines meet operational and accreditation requirements.
\nPartner with Pilot, EdgeOS, and hardware teams to integrate foundation-model-based perception and reasoning into autonomy behaviors. Define requirements for distillation, quantization, and inference tooling as part of the “three-computer” development and deployment model. Ensure closed-loop workflows between cloud model training and edge-native execution.
\nCollaborate with Engineering, Research, Product, Customer Engagement, and Solutions teams to ensure model outputs meet mission and platform constraints. Translate advanced AI capabilities into intuitive workflows that platform OEMs and partner nations can use to build sovereign AI factories. Sequence foundational capabilities that unblock autonomy, simulation, and customer-facing product teams.
\nDevelop deep empathy for ML engineers, autonomy developers, and Solutions engineers who rely on the platform. Capture operational data gaps, mission-driven model needs, and domain-specific specialization requirements. Lead demos and onboarding for model-development capabilities across internal and external teams.
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\nAbout Hebbia
\nHebbia is an AI platform for investors and bankers that generates alpha and drives upside. Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock, KKR, Carlyle, Centerview, and 40% of the world's largest asset managers.
\nOur flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally.
\nWe deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets.
\nHebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.
\nAbout the AI Strategy Team
\nOur AI Strategists are deep domain experts and problem-solvers who bridge product, commercial strategy, and customer impact. They understand deeply the manual drain of our users' workflows and the myriad ways Hebbia provides value, and are focused on embedding and expanding Hebbia use cases within customer environments to maximize ROI and transform how work gets done.
\nAs we continue to scale in hypergrowth, our AI Strategists sit at the intersection of GTM, product, and post-sales - helping shape commercial strategy and expanding our footprint across the global financial industry landscape. The team owns deployment and early adoption, leads strategic growth initiatives post-sale, and partners cross-functionally to inform product roadmap, sales strategy, and executive account management.
\nAbout the Role
\nThis is not a typical post-sales role: you'll drive the strategic deployment and measurable value creation of Hebbia's platform across top global financial institutions, shaping how AI transforms the enterprise.
\nOur AI Strategists bring curiosity, critical thinking, commercial edge, and executive polish - they move seamlessly between strategic conversations and hands-on execution in a fast-moving environment.
\nIf you thrive on solving complex problems, building meaningful partnerships, and helping define how AI reshapes finance, we'd love to meet you.
\nResponsibilities
\nApply cutting-edge AI: Develop expertise with leading LLMs (Opus 4.6, GPT-5.2, Gemini 3, etc.), become a SME in Hebbia's product and features, and apply to complex professional settings and workflows
\nBuild domain expertise: Develop an intimate understanding of the complex banking, financial and legal workflows of our users (e.g., credit agreements, lease documents, etc.)
\nBecome a core advisor: Deeply understand our customer stakeholders, drive value and growth as a trusted AI advisor
\nDrive value-backed growth: Identify and capture value with customers, serving as a key driver of our land-and-expand commercial strategy
\nOptimize processes for scale: Define and constantly enhance internal processes and workflows to shape the post-sales team and improve our customer experience
\nOwn in ambiguity: Operate with autonomy and clarity in fast-moving, unstructured environments - quickly distill complex problems, learn on the fly, and drive toward actionable solutions across customer and product needs
\nWho You Are
\nBachelor's degree, preferably in Finance, Economics, Computer Engineering, or Pre-Law
\n1-5 years of client-facing experience in top-tier investment banking, institutional investing, corporate law, corporate finance, or consulting roles; relevant internship experience can be considered for recent grads
\nStrong ownership mindset with a demonstrated track record of outperformance, value creation, and expanded responsibilities
\nExperience and comfort with leading LLM models and tools; we want to hear about what you've built/tested/researched
\nBonus:
\n5-10 years of client-facing experience with an emphasis on relationship-building
\nStrong commercial acumen and experience driving revenue expansion, particularly deploying AI/SaaS into enterprise organizations
\nTechnical startup and/or founder experience, building systems and processes for scale
\nLLM technical knowledge and practical experience implementing into professional workflows
\nCompensation
\nThe combined base + bonus compensation range (OTE) for this role is $90,000 - $160,000 + competitive equity. The OTE range for those who meet Bonus qualifications is $160,000 - $225,000. These ranges are inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate's experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.
\nLife @ Hebbia
\nPTO: Unlimited
\nInsurance: Medical + Dental + Vision + 401K + Wellness Benefits
\nEats: Catered lunch daily + doordash dinner credit
\nParental leave policy: 3 months non-birthing parent, 4 months for birthing parent
\nFertility benefits: $15k lifetime benefit
\nNew hire equity grant: competitive equity package with unmatched upside potential
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\nYour responsibilities will include:
\nDesigning solutions that meet customer needs and drive business value\nCo-owning product and technical evaluations with sales teams\nDefining scope, environments, dependencies, success criteria, and execution plans\nTranslating customer workflows into scalable integration designs\nValidating technical readiness through structured discovery before delivery\nGuiding customers through enterprise-grade reviews, security questionnaires, data governance evaluations, and compliance alignment\nConsulting with legal operations, IT admins, and firm executives to drive adoption strategy, AI safety best practices, governance, and long-term expansion
\nTo be successful in this role, you will need strong technical expertise, particularly in SaaS architectures, APIs, authentication models, and data integration patterns. You should also have experience in pre-sales support, clear communication skills, and the ability to connect technical design to measurable business value and customer impact.
\nNice to have skills include experience in high-growth startup environments, understanding of legal tech, AI, or enterprise data environments, and the ability to context switch between pre-sales strategy and hands-on technical work.
\nBenefits include competitive salary and equity, 401(k) program with employer matching, health, dental, vision, and life insurance, short-term and long-term disability, commuter benefits, autonomous work environment, office setup reimbursement, flexible time off, and quarterly team gatherings.
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\nLocation
\nSan Francisco
\nEmployment Type
\nFull time
\nDepartment
\nCompensation
\nThe base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
\nBenefits
\nAbout the Team
\nThe Technical Support team is responsible for ensuring that developers and enterprises can reliably build mission critical solutions using OpenAI models. We provide technical guidance, resolve complex issues and support customers in maximizing value and adoption from deploying our highly-capable models. We work closely with Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. We think from an automation-first mindset and leverage the latest in AI to scale our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and help shape the future of Technical Support in the age of AI.
\nAbout the Role
\nWe are looking for a Senior Support Engineer to collaborate directly with our strategic enterprise accounts and product teams, helping solve some of the most difficult problems faced by our Customers. You will be part of the best technical troubleshooting team at OpenAI, and our Customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment.
\nAs a Senior Support Engineer, you will design and run operational processes to monitor our top strategic customers and a 24x7 response team. You’ll work closely with our Infrastructure and Engineering teams to deliver the best possible experience to customers at scale. Working directly with our most strategic Customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI API platform.
\nThe nature of this role will be low volume, high difficulty.
\nThis role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
\nIn this role, you will:
\nYou might thrive in this role if you:
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