AI Product Manager at ScaleAI | San Francisco

At ScaleAI, we are at the forefront of AI innovation, providing essential data that drives advancements in areas such as frontier model training, enterprise integration, defense technologies, and autonomous systems. Our mission is to create trustworthy AI solutions that empower critical decision-making across various sectors.We are seeking an AI Product Manager to lead one of our Agent & Reinforcement Learning Environments data verticals, specifically focusing on Computer Using Agent (CUA) data. In this pivotal role, you will manage the product roadmap for your data vertical, overseeing data generation pipelines, ensuring data quality, and developing researcher-facing tools that assist laboratories in training and assessing intelligent agents in multifaceted environments. You will collaborate closely with our key customers and their top researchers, acting as the technical authority for your products and influencing both internal and external strategic roadmaps.The ideal candidate should possess a strong entrepreneurial spirit, a go-to-market mindset, and a solid technical understanding of AI research, enabling effective engagement with technical stakeholders to achieve mission-critical results.

About the Role The Director of Business Systems will play a crucial role in establishing a robust framework across Finance, GTM, Operations, and People systems, seamlessly integrating these capabilities into a dynamic, AI-enhanced infrastructure. As a builder-first leader, you will merge enterprise architecture with advanced AI automation. Your mission is to eradicate fragmentation and empower every function to accelerate operations by implementing internal AI agents that minimize manual tasks and highlight actionable insights. You will spearhead the effort to refine our internal processes to match the sophistication of the external products we deliver. Key Responsibilities Enterprise Application Strategy: Oversee the complete lifecycle of our application ecosystem, including ERP (Finance), CRM (GTM), HRIS (People), and specialized AI tools. Ensure these systems integrate into a secure, scalable backbone. AI Agent Deployment: Discover opportunities to replace manual workflows with AI/LLM-powered agents. Develop and manage “internal agents” that automate forecasting, revenue capture, and employee self-service. Cross-Functional Partnership: Act as the primary technology partner for the leadership team. Align system roadmaps with departmental objectives to ensure a seamless flow of data from production to back office. Operational Excellence: Enhance our core systems by instituting disciplined change management, clear data governance, and measurable SLAs. Stabilize environments to meet audit and regulatory demands. Team Leadership: Direct a high-impact team that cultivates a culture of curiosity, speed, and user-centricity.

Join Scale AI as a Compensation Manager within our Total Rewards team, where you will play a pivotal role in shaping and enhancing our global compensation frameworks. This position involves providing in-depth analysis, valuable insights, and expert modeling to support our largest asset—our people. We are looking for a dynamic individual who thrives in a fast-paced environment and is passionate about tackling complex challenges as we continue to expand.Key Responsibilities:Conduct quantitative analyses to support Leadership on strategic initiatives.Perform market benchmarking to establish competitive pay structures that facilitate business growth.Engage in the research, design, and implementation of innovative compensation programs.Assist with international expansions and mergers & acquisitions.Work closely with the Recruiting team to optimize processes and manage offer escalations.Create and maintain tools that improve the efficiency of compensation initiatives.Integrate AI technologies into compensation workflows.Enhance clarity, transparency, and understanding of compensation practices at Scale.

Join Scale AI as a talented Infrastructure Security Engineer, where you'll play a pivotal role in safeguarding the integrity and security of our platform. This position focuses on securing expansive cloud environments, managing and fortifying various compute clusters, and reviewing infrastructure as code. Your proficiency in cloud security, infrastructure automation, and advanced security practices will be crucial in upholding and advancing our security framework.Your responsibilities include:Securing infrastructure across major cloud hosting platforms (e.g., AWS, Azure, GCP).Implementing and maintaining comprehensive security configurations and policies for cloud environments.Conducting regular security assessments and audits to identify vulnerabilities and propose enhancements.Developing and enforcing security best practices for infrastructure automation and orchestration.Collaborating with Developer Experience, IT, and product teams to integrate security into every phase of the infrastructure lifecycle.Reviewing and securing infrastructure as code (e.g., Terraform, CloudFormation).Mentoring team members on infrastructure security best practices and emerging threats.

About Liquid AIBorn from the innovative environment of MIT CSAIL, Liquid AI develops cutting-edge general-purpose AI systems that operate seamlessly across various deployment environments—from data center accelerators to on-device hardware. Our solutions prioritize low latency, minimal memory consumption, privacy, and reliability. We collaborate with leading enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we are eager to welcome exceptional talent to our dynamic team.The OpportunityJoin us in establishing the product function that will transform Liquid AI's technological advancements into scalable, repeatable solutions for enterprise clients. As a key member of our Product team, you will work closely with technical leaders to define, package, and launch AI solutions that meet market needs. This role requires daily collaboration with ML engineers, GTM leaders, and enterprise customers to understand the value of our technology and effectively deliver it. This position offers significant ownership, allowing you to treat your solution area like your own startup within our organization.What We're Looking ForWe are seeking an individual who embodies the following qualities:Customer Obsession: Prioritizes understanding customer needs through direct feedback rather than assumptions.Self-Direction: Takes initiative to dive deep into problems without prompting, and is comfortable navigating uncertainty to propose effective solutions.Technical Fluency: Engages confidently with ML engineers and researchers, understanding the complexities of deploying AI systems in real-world applications.Founder Mentality: Treats their solution area as a startup, owning outcomes across various functions, from technical architecture to go-to-market strategies.The WorkOversee one or more go-to-market ready solutions from inception to scalable customer deployment.Analyze customer interactions to extract insights and identify productization opportunities.Collaborate with ML and inference teams to develop tools that streamline implementation.Define Ideal Customer Profiles (ICPs), pricing strategies, and packaging for scalable solutions.Partner with GTM teams to enhance outbound sales efforts around productized offerings.

Join Fractional AI as a Forward Deployed Product ManagerAt Fractional AI, we specialize in developing personalized Generative AI software that revolutionizes business operations. Collaborating with notable clients like Zapier, Airbyte, and Change.org, we create impactful AI applications tailored to meet their unique needs.As organizations strive to bridge the divide between theoretical AI and its practical applications, we facilitate this transition with our exceptional engineering capabilities and comprehensive AI solutions. Explore our case studies to see how we make a difference.We are a profitable, rapidly growing company dedicated to tackling the most challenging problems in applied AI.About the RoleAs a Forward Deployed Product Manager, you will engage with clients who present ambitious goals—such as enhancing content moderation efficiency, improving customer service, unlocking new integrations, and automating complex workflows. Your mission will be to transform these objectives into tangible AI-driven solutions that deliver real-world results, guiding the process from initial discussions to deployment and measurable business impact.This role encompasses several key functions:Client Engagement: Acting as the primary liaison between Fractional AI and our clients.Product Strategy: Defining product development priorities and rationales.Project Management: Overseeing the execution of projects from start to finish.Operational Flexibility: Taking initiative to address any gaps that arise during the product lifecycle.Your Responsibilities:Manage Customer Relationships:Serve as the strategic partner for clients, maintaining regular communication.Participate in initial discussions, facilitate discovery sessions, gather feedback, and ensure alignment on project objectives.Establish trustworthy connections with stakeholders at all levels, setting realistic expectations and transparently discussing trade-offs.Define Product Vision:Determine product features, refine project scope, and prioritize the most impactful use cases.Translate complex business challenges into clear, actionable project plans.

Liquid AI, a company spun out of MIT CSAIL, develops general-purpose AI systems designed for efficiency, privacy, and reliability across a wide range of platforms. The team partners with enterprises in fields such as consumer electronics, automotive, life sciences, and financial services. As Liquid AI expands, the company is seeking new team members to help shape the direction of AI technology. Role overview This Product Marketing Manager position is the first of its kind at Liquid AI and reports directly to the VP of Marketing in San Francisco. The role bridges product development, communications, and go-to-market planning. The Product Marketing Manager will play a key part in ensuring Liquid AI’s innovations reach the right audiences and will help establish the foundation for future marketing initiatives. Success in this position requires a strategic mindset, the ability to understand complex technical products, and an understanding of both enterprise clients and technical users. Adaptability and a willingness to build new processes from the ground up are important for this role. What matters at Liquid AI Builder: Uses modern AI tools (including Claude Code) for content creation, campaign management, and prototyping. Able to create demos or proofs-of-concept for launches and sales, and guide others in these areas. Translator: Communicates complex technical details in clear, credible ways for the market. Knows when to consult engineering for more information before a launch and balances immediate needs with long-term planning. Operator: Establishes repeatable systems such as kickoffs, briefs, and retrospectives, rather than focusing only on one-off projects. Cross-functional collaborator: Works effectively with product, go-to-market, communications, and sales teams to drive campaigns across multiple channels. Networker: Brings recommendations for tools, contractors, and agencies to help scale marketing and communications. Comfortable working with AI tools and freelancers. Main responsibilities Lead competitive analysis and market research to refine Liquid AI’s positioning and identify new growth opportunities. Collaborate with cross-functional teams to develop and execute product marketing strategies.

Senior Software Engineer - ConnectivityThe Connectivity team at Scale owns the foundational platform that empowers us to consistently generate, assess, and deliver high-quality training data to our clients. Our systems are integral to Scale’s data and AI infrastructure, facilitating large-scale workflows while enabling cutting-edge AI functionalities such as multi-modality, long-horizon reasoning, and agentic behavior.We are seeking a seasoned engineer with extensive experience in developing robust platforms. The ideal candidate will possess strong architectural judgment, a commitment to correctness and reliability, and the capability to design systems that can scale and adapt effectively over time. This role is primarily backend-focused but includes full-stack responsibilities and substantial ownership from design to long-term operations.

Join our Frontier Tech Consultant team at Scale AI, where you will be instrumental in driving groundbreaking AI advancements. Your role will involve conducting impactful experiments and ensuring flawless execution that adheres to our high-quality standards. Your contributions will play a vital role in the growth and evolution of artificial intelligence. As an AI Strategy Consultant, you will engage in a diverse range of projects, including but not limited to: conducting research experiments, generating datasets, enhancing data quality, and performing comprehensive technical analyses. You will address intricate technical and operational challenges, collaborating closely with Scale’s ML research scientists and SPM team. The ideal candidate is analytical, detail-oriented, and results-focused, possessing strong problem-solving capabilities and exceptional communication skills. We seek individuals who excel in fast-paced environments, proactively tackle challenges, and are dedicated to delivering outstanding results. If you are passionate about being at the forefront of AI innovation, we encourage you to apply.

About David AIDavid AI is pioneering the audio data research landscape, applying a rigorous R&D approach to dataset development akin to the methodologies used in AI labs for model creation. Our goal is to integrate AI seamlessly into real-world applications, with audio serving as the perfect entry point due to its inherent versatility and human connection. As the audio AI field progresses, the demand for high-quality training data becomes critical, and that's where David AI excels.Founded in 2024 by a team of experienced engineers and operators from Scale AI, David AI has quickly gained traction, serving prominent clients among FAANG companies and AI research labs. Recently, we secured a $50M Series B funding round from esteemed investors including Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, and First Round Capital.Our team embodies intelligence, humility, ambition, and a close-knit ethos. We are on the lookout for exceptional talent in research, engineering, product, and operations to join us in advancing the frontiers of audio AI.About Our Engineering TeamAt David AI, our engineering team is responsible for constructing the pipelines, platforms, and models that convert raw audio into valuable data for top AI labs and enterprises. We pride ourselves on our collaborative environment, comprising product engineers, infrastructure specialists, and machine learning experts dedicated to leading the charge in audio data research.We operate at a fast pace, taking ownership of our projects from conception through to production. Our team develops real-time processing pipelines capable of managing terabytes of audio data daily while deploying innovative generative audio models.About This RoleAs a Product Engineer at David AI, you will design and implement state-of-the-art tools that enable our users to leverage audio data effectively for training their AI models. You will collaborate closely with researchers to continuously refine our data collection methodologies.Your ResponsibilitiesDeliver full-stack features that will be utilized by thousands of users on a daily basis.Develop scalable systems that create essential data processing pipelines, extracting actionable insights from terabytes of audio data each day.Construct, deploy, and assess LLM and DSP-based solutions to enhance our clients' comprehension of intricate features within our datasets.Rapidly iterate on research hypotheses by collaborating with researchers and the operations team to deploy enhancements efficiently.

Help Build Tools That Detect Wildfires Early About Pano AI Pano AI develops technology to help fire professionals spot and respond to wildfires faster. Headquartered in San Francisco, the team now includes more than 150 people working in a hybrid-remote model. The company’s platform combines advanced hardware, software, and artificial intelligence, all accessible through a web-based interface. Fire authorities use Pano’s network of 360-degree, ultra-high-definition cameras, along with satellite and other data sources, to monitor specific geographic areas and receive real-time intelligence about emerging threats. The Challenge Wildfires are growing more intense and unpredictable as climate change drives drier conditions and stronger winds. Most fires are still detected by bystanders and reported through 911, which can mean hours of delay before first responders are dispatched. Pano AI aims to give fire authorities a faster, more reliable way to detect and confirm new ignitions, so small incidents are stopped before they become disasters. Recognition Named one of the TIME 100 Most Influential Companies of 2025 Selected by MIT Technology Review as a top 15 climate tech company to watch in 2024 Recognized by Fast Company as a Top 10 most innovative company in AI of 2023 Featured in the Wall Street Journal and Bloomberg Pano AI continues to grow as a leader in early wildfire detection and intelligence, supporting first responders with timely information and better coordination.

The Enterprise Account Executive will play a pivotal role in driving revenue growth through a designated portfolio of Scale AI’s largest and most influential enterprise clients. This position focuses on the sale of sophisticated, technical AI solutions to Fortune 500 companies, collaborating with executive leaders, technical teams, and operational stakeholders to foster long-term value and growth. As the primary point of contact, you will manage the entire enterprise sales cycle—from initial prospecting and deal strategy to closing, renewing, and expanding contracts—while acting as a key liaison among internal teams such as Solutions Engineering, Product, Research, and Operations. This role demands a strong sense of ownership, executive presence, and the ability to successfully navigate complex, multi-stakeholder buying processes in a fast-paced environment.

At Kiddom, we are revolutionizing the educational landscape by leveraging advanced technology to enhance learning experiences. Our innovative platform integrates top-tier curriculum with state-of-the-art AI and modern SaaS infrastructure, empowering schools to provide truly personalized education at scale. By offering educators real-time insights and versatile tools, we enable them to prioritize what truly matters—driving student growth and ensuring equity.We are not merely creating educational technology; we are challenging an industry that has been slow to embrace innovation. As a Senior Product Manager, you will play a pivotal role at Kiddom, collaborating closely with engineers, designers, AI researchers, and educators to develop transformative experiences that redefine what is achievable in the classroom.If you excel in navigating uncertainty, thrive in a culture that values ownership, and are passionate about the intersection of human impact and cutting-edge technology, this is your opportunity to drive meaningful change.

About Us:At LangChain, we strive to make intelligent agents an integral part of everyday technology. Our mission revolves around building a robust foundation for agent engineering, enabling developers to transition from prototypes to production-ready AI agents that teams can depend on. Initially starting as a suite of widely adopted open-source tools, we have expanded to offer a comprehensive platform for building, evaluating, deploying, and operating agents at scale.Today, our products including LangChain, LangGraph, LangSmith, and Agent Builder are instrumental for teams delivering real AI solutions across both startups and large enterprises. Millions of developers trust LangChain to empower AI teams at renowned companies such as Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.With a successful $125M raised in Series B funding from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we are at an exciting stage of growth, continuously developing innovative products where every team member's contributions significantly shape our technology and collaborative efforts.About the Role:We are in search of a Product Manager to take ownership of critical components of LangSmith. The evolution of AI products is transforming software development processes; LangSmith serves as the observability, evaluation, and deployment platform that facilitates the creation of reliable AI systems.This position operates at the crossroads of user experience and production infrastructure. You will collaborate with engineers to develop features that are intuitive while also addressing complex technical challenges: managing versioning for intricate prompt chains, troubleshooting multi-step agent failures, or creating scalable evaluation systems for test cases ranging from 10 to 10,000.Engaging directly with customers — from early-stage startups launching their first agent to enterprises managing mission-critical AI systems — you will gain insights into where the platform needs enhancement and what new capabilities can facilitate innovative workflows.Lead the roadmap for a fundamental aspect of the LangSmith platform.Collaborate with customers to identify their challenges and outline new product features.Partner with engineering to establish project scope, navigate technical trade-offs, and deliver impactful features swiftly.Contribute to shaping product strategy alongside our founders and leadership team.

About David AIDavid AI is a pioneering audio data research company that applies a rigorous R&D framework to data development, akin to that of leading AI labs. Our mission is to seamlessly integrate AI into everyday life, recognizing that audio serves as a natural interface. As the demand for advanced audio AI grows, the need for high-quality training data becomes critical—this is where David AI excels.Founded in 2024 by a talented team of former Scale AI engineers and operators, we have rapidly secured partnerships with major FAANG companies and AI laboratories. Recently, we raised $50M in Series B funding from prestigious investors like Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital, and others.Our team is composed of sharp, humble, and ambitious individuals who collaborate closely. We are eager to welcome the brightest minds in research, engineering, product, and operations to join us in advancing the frontiers of audio AI.About our Data Operations TeamThe Data Operations team is the powerhouse behind David AI's Data Factory, converting raw audio into exceptional training datasets for top AI labs. Our goal is to develop and manage new data pipelines on a grand scale.This entails starting with a model capability we aim to unlock, experimenting with various data shapes and collection strategies, and validating these approaches with researchers. Once we identify a successful method, we industrialize it by creating reliable, efficient, and high-quality audio processing pipelines. Our team thrives in ambiguous environments, adept at both prototyping innovative workflows and managing extensive production systems.About This RoleAs the Data Product Operations Lead, you will be instrumental in propelling the Data Factory at David AI. Your responsibilities will include designing and scaling pipelines that transform raw audio into valuable datasets for leading AI labs. You will take full ownership of data products from initial prototypes to large-scale implementations, actively building workflows, validating them with researchers, and ensuring their reliability at production levels.In This Role, You WillOversee the complete success of a data pipeline, from initial experiments to scaling up production systems that produce high-quality audio data in significant volumes.Design and operate pipelines that maintain reliability, quality, and efficiency while processing an extensive volume of audio data.

Join Scale AI as a Senior Accountant, where you will play a vital role in our expanding accounting team. You will be responsible for managing daily corporate accounting tasks, facilitating the month-end close process, and assisting in the implementation of robust systems and processes to foster our growth. This is an exciting opportunity to thrive in a fast-paced, high-growth environment.The ideal candidate will excel in a start-up setting, demonstrating meticulous attention to detail alongside exceptional interpersonal and communication abilities. You will have a proven track record of forging scalable relationships across functions and driving process enhancements.Your Responsibilities:Execute journal entries and oversee daily corporate accounting functions while supporting the month-end close process to ensure timely and accurate financial reporting in compliance with U.S. GAAP.Enhance balance sheet account reconciliation workpapers, including reviewing and refining historical reconciliations.Collaborate with the Accounting and Finance teams on metrics, flux analysis, forecasts, and projections, contributing to the preparation of the monthly reporting package.Prepare documentation for internal and external audits and facilitate their successful completion.Support the adoption of new systems and processes to streamline the closing process and accommodate the company's growth.Identify opportunities for process improvements that enhance efficiency and shorten the close timeline.Develop, maintain, and refine internal controls related to your assigned areas.

Join Casca as a Product Manager!At Casca, we are revolutionizing the banking industry by developing Artificial General Intelligence (AGI) solutions. Our mission is to replace outdated legacy systems with cutting-edge AI technology that automates up to 90% of the manual tasks traditionally performed by humans.In this role, you will take full ownership of a product vertical, collaborating with our engineering team and banking clients to transform intricate lending workflows into streamlined, AI-driven experiences. Your decisions will directly influence our product development and direction.While demand is high, our challenge lies in delivering innovative solutions swiftly. We seek individuals capable of tackling significant challenges, engaging with sophisticated clients, and accelerating our delivery processes.Your ResponsibilitiesStrategize Product Development: Define the product roadmap by making critical prioritization decisions based on customer feedback, business impact, and technical feasibility.Engage with Clients: Spend time with banking customers to comprehend their workflows, identify pain points, and navigate regulatory environments, ensuring our products provide real solutions.Collaborate with Engineers: Work closely with the engineering team to balance speed, quality, and scope while gaining insights into technical complexities.Manage the Product Lifecycle: Oversee all stages including requirements gathering, development, quality assurance, rollout, and iteration, with a focus on measuring success and addressing shortcomings.Adapt Quickly: Handle multiple priorities, make informed decisions with limited information, and pivot as necessary based on new insights.QualificationsMinimum of 4 years of experience in product management within fast-paced, technology-centric environments, with a preference for candidates with startup experience.Proven track record of successfully launching customer-centric products that resonate with users.Strong analytical capabilities, utilizing data to inform decisions rather than retroactively justify them.Exceptional verbal and written communication skills, able to convey complex concepts in an understandable manner.Familiarity with AI/ML products, financial services, or enterprise software is a plus.What You Can ExpectOwnership & Impact: A unique opportunity to influence the future of banking through AI and lead product initiatives from conception to execution.Collaborative Culture: Join a dedicated and talented team that values creativity and teamwork.

Saris AI develops advanced AI automation for the banking sector, with teams in San Francisco, Montreal, and Toronto. The company addresses large-scale automation challenges, focusing on long-context reasoning, integrating with legacy systems, and meeting strict compliance needs. Saris AI’s AI agents are already active in production, supporting real customer workflows as the business expands. Role overview The San Francisco engineering team is seeking an Engineering Manager. This leader will guide engineers through shifting priorities and frequent ambiguity. The position involves building and leading teams, managing projects from concept to launch, and ensuring the delivery of reliable software that powers AI-driven products. What you will do Build and lead engineering teams focused on automation and AI Oversee software projects from initial idea through production launch Adapt to changing requirements and priorities as the company grows Address the technical challenges unique to deploying software in AI systems Requirements Proven experience building and leading engineering teams History of delivering software projects from start to finish Comfort working in environments where priorities and requirements shift quickly Understanding of the complexities involved in AI-driven software deployment Location This role is based in San Francisco.

Freed develops technology that helps clinicians focus on patient care by reducing administrative burdens. The main product is an AI-powered scribe that automates medical documentation, allowing doctors to spend less time on paperwork. Since its launch in May 2023, Freed has brought on 20,000 clinicians and now generates 70,000 patient notes each day, totaling over 2 million notes monthly. Clinician satisfaction has improved, as highlighted in recent reports. With support from Sequoia Capital and other leading investors, Freed is growing its suite of tools. Upcoming projects include patient-facing assistants, analytics for patient data, and integrations with electronic health records. Thousands of healthcare providers already rely on Freed’s solutions daily. The company’s San Francisco team values entrepreneurship and a shared mission to support healthcare professionals. Work happens in a hybrid model, with in-person collaboration three days a week. Role overview The Product Manager will take ownership of key product areas at Freed. This position works closely with engineering, design, and clinical operations to shape what the team builds, why it matters, and when it launches. The role calls for someone who can break down complex problems, communicate effectively, and move quickly from concept to delivery. Familiarity with AI is important, both for developing features and for daily tasks. What you will do Lead the end-to-end product lifecycle for major features, from discovery to launch and ongoing improvement Set thoughtful priorities and clearly explain decisions to stakeholders Ensure engineering, design, and go-to-market teams stay aligned and informed Translate clinician needs into practical product solutions, always with clear rationale Apply AI to enhance product performance and efficiency Location and work environment This position is based in San Francisco and follows a hybrid schedule. Teams gather in person three days each week to collaborate and share ideas.

About FluidstackAt Fluidstack, we are revolutionizing the infrastructure for advanced intelligence. Collaborating with leading AI laboratories, government entities, and major corporations such as Mistral, Poolside, Black Forest Labs, and Meta, we aim to deliver computational power at unprecedented speeds.We are diligently striving to realize Artificial General Intelligence (AGI). Our team is driven by a shared mission, emphasizing high-quality infrastructure that enhances our clients' success. We pride ourselves on our commitment to excellence and the trust we build with our customers. If you are passionate about making a meaningful impact and are dedicated to advancing the frontier of intelligence, we invite you to join us in shaping the future.Role OverviewWe are seeking a Product Manager to lead our AI platform roadmap, encompassing managed inference and agent platforms. You will be responsible for defining how Fluidstack empowers customers to deploy, scale, and optimize large language model (LLM) inference workloads—covering aspects from model serving and routing to agent orchestration and complex AI systems. This role involves balancing customer demands for low latency and high throughput with the practical considerations of GPU utilization, cost-effectiveness, and platform reliability. You will collaborate with engineering, machine learning research, and go-to-market teams to strategically position Fluidstack against inference-driven competitors such as Together AI, Fireworks, Baseten, Modal, and Replicate.Key ResponsibilitiesLead the product strategy and roadmap for managed inference services, focusing on model deployment, autoscaling, multi-LoRA serving, and inference optimization.Define requirements for agent platform functionalities, including structured outputs, function calling, memory primitives, tool integration, and multi-step reasoning workflows.Make informed decisions regarding prioritization of inference optimizations such as speculative decoding, continuous batching, KV cache management, quantization support, and custom kernel integration.Collaborate with ML infrastructure engineers to create APIs, SDKs, and deployment workflows that facilitate model fine-tuning, version management, and A/B testing.Partner with datacenter teams to enhance GPU allocation strategies—balancing dedicated versus serverless deployments, cold start latency, and cost-per-token economics.Conduct competitive analysis of offerings from Together AI (inference optimization stack), Fireworks (custom inference engine), Baseten (training-to-inference integration), and Modal (serverless architecture).Establish pricing models that reflect customer usage patterns (tokens, requests, GPU-hours) while ensuring platform sustainability.