Forward Deployed AI Engineer at Stack AI | San Francisco

Join Bretton AI: Revolutionizing Financial SecurityBretton AI stands as the forefront AI agent platform dedicated to transforming the financial services sector. Trusted by industry leaders such as Robinhood, Mercury, and Gusto, we specialize in automating essential functions, primarily focusing on anti-money laundering and counter-terrorism investigations.With over $95 million raised from prestigious investors like Greylock, Y Combinator, and Thomson Reuters Ventures, our headquarters is located in the vibrant heart of downtown San Francisco. Our exceptional team hails from renowned organizations like SpaceX, Google, Netflix, Stripe, and Plaid, bringing a wealth of experience and expertise.The OpportunityWe are on the lookout for a meticulous and analytical individual to enhance our AI Operations team. In this pivotal role, you will be at the forefront of ensuring peak performance of our AI agents, empowering banks and fintechs in their fight against financial crime on a large scale. Your responsibilities will include quality monitoring, feature testing, and direct collaboration with engineering and our clients to maintain optimal platform performance.This is a unique chance to gain insight into the functioning of cutting-edge AI systems in a production environment while making a significant contribution to global financial security.Your ResponsibilitiesPerform quality assessments of AI agents to meet compliance standards for banking and fintech sectors.Evaluate new features and custom logic prior to their deployment for clients.Analyze case data to uncover patterns, identify issues, and propose improvement opportunities.Collaborate with engineering teams to understand and assess the effects of system modifications.Acquire knowledge of advanced AI monitoring methodologies, including performance drift detection and human scoring pipelines.Provide operational insights and recommendations to our largest clients.Partner with product and engineering teams to translate operational findings into actionable platform enhancements.Path to SuccessMonth 1: Gain mastery of our AI platform and familiarize yourself with complex compliance workflows by shadowing seasoned team members and conducting initial case reviews.Month 2: Assume responsibility for operational support for major client implementations, executing comprehensive quality evaluations and collaborating with engineering to enhance system performance.Ongoing: Become the principal authority on AI operations, executing critical reviews that significantly influence product development and client success.

Join the Bretton AI TeamBretton AI stands at the forefront of innovation in the financial services sector, providing a cutting-edge AI agent platform trusted by industry leaders such as Robinhood, Mercury, and Gusto. Our technology plays a crucial role in automating mission-critical operations, including anti-money laundering and counter-terrorism investigations.With over $95 million raised from prominent investors like Greylock, Y Combinator, and Thomson Reuters Ventures, our headquarters is located in the heart of downtown San Francisco. Our diverse team comprises talent from esteemed organizations such as SpaceX, Google, Netflix, Stripe, and Plaid, bringing together a wealth of expertise to drive our mission forward.Your Role As a Product EngineerWe are seeking talented Product Engineers who are adept at transforming complex customer challenges into streamlined technical solutions. You will take ownership of significant features from the initial concept to deployment, collaborating closely with clients to grasp their needs, architect scalable systems, and deliver code that enhances compliance operations.This position merges deep technical expertise with direct customer impact, enabling you to develop systems that handle thousands of cases, dramatically reduce the workload for compliance teams, and contribute meaningfully to our revenue growth.What You Will CreateDesign user-friendly interfaces for case management, reporting, and analytics.Develop document analysis and verification solutions.Create intelligent workflows that integrate AI tools and data services to facilitate research, enrichment, and verification, while ensuring human oversight for critical reviews.Build customizable tools that empower clients to configure their compliance workflows effectively.Desired QualificationsEssential Skills:4+ years for Engineer / 6+ years for Senior Engineer / 8+ years for Staff Engineer in developing production software.Proficient in full-stack development, encompassing backend services, APIs, databases, and preferably some frontend development.Demonstrated success in delivering customer-facing products where reliability is paramount.A proactive ownership mentality, overseeing projects from requirements gathering to deployment and iterative improvements.Excellent communication abilities, capable of articulating technical decisions to varied audiences.Strong product mindset—understanding the reasoning behind your developments, not just the execution.Preferred Experience:Familiarity with compliance frameworks and regulatory environments.Experience in financial technology or related fields.

Join the Bretton AI TeamBretton AI stands at the forefront of innovation in the financial services sector, offering a premier AI agent platform. Our technology is trusted by industry leaders such as Robinhood, Mercury, and Gusto, enabling them to streamline critical operations including anti-money laundering and counter-terrorism investigations.Having successfully raised over $95 million from esteemed investors like Greylock, Y Combinator, and Thomson Reuters Ventures, our dynamic team is located in the heart of San Francisco, bringing together talent from elite organizations such as SpaceX, Google, Netflix, and Stripe.Your Role as a Forward Deployed EngineerAs a Forward Deployed Engineer (FDE), you will be instrumental in collaborating directly with clients to deploy and integrate Bretton’s cutting-edge platform within complex real-world environments. This position uniquely combines elements of engineering, customer engagement, and product development, enabling you to help clients leverage our technology while gathering insights that will enhance and expand our product offerings.Key ResponsibilitiesImplement Bretton's AI agents across banks, fintech firms, and payment processors, adeptly managing security and compliance challenges associated with regulated industries.Travel to client sites to address last-mile connectivity issues, ranging from core banking integrations to troubleshooting scenarios that arise in live production.Collaborate with BSA officers, AML analysts, and risk management teams to translate their operational workflows and regulatory obligations into actionable agent behaviors.Develop connectors, configuration tools, and internal frameworks that transform bespoke client solutions into scalable platform capabilities.Guide clients through the implementation process as a trusted technical advisor, helping them resolve challenges swiftly and maximize their investment in Bretton's solutions.Work cross-functionally with engineering, product, and go-to-market teams to eliminate obstacles and ensure client success.Diagnose and solve issues during real deployments by replicating problems and collaborating with the engineering team to implement solutions.Convert customer usage data into actionable product insights by communicating their needs with engineering and product teams, identifying opportunities to integrate recurring solutions as formal product features.

Join a pioneering team of former Google engineers who have developed ground-breaking defensive technologies, such as Safe Browsing and reCAPTCHA. We are on a mission to confront an urgent challenge: combating the rising tide of adversarial AI attacks that threaten organizations globally.Operating in stealth mode, we are targeting a lucrative $5B+ market that is primed for innovation. Conventional detection methodologies are proving inadequate against the speed and sophistication of AI-driven assaults. Current adversaries are leveraging AI to engineer tailored, high-evasion attacks, leaving traditional systems vulnerable.Your Role:You will design a network of AI agents that are rapid, cost-effective, and precise, collaborating to identify and neutralize emerging threats. Your work will dive deep into real-time threat data, continuously evolving your agents in a fast-paced environment. These agents will function under an orchestration layer that fosters quick adaptation and learning.The Excitement of the ChallengeRapidly Evolving Models: The landscape changes daily; solutions that worked yesterday may be outdated today.Intelligent Adversaries: We are engaged in a real-time arms race against cunning, AI-enhanced attackers crafting sophisticated payloads.No Existing Playbook: We are forging new detection paradigms as swiftly as threats evolve. This high-stakes work places you in the heart of the action from day one.If you thrive on solving challenging problems with rapid feedback, this is your opportunity.Why We Are Positioned to SucceedExpansive Market: The market is vast at $5B and expanding quickly, while established players struggle to adapt.Proven Track Record: Our team has previously developed the foundational technology for Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our time at Google.Experienced Team: This is our third endeavor in creating a category-defining security enterprise, and we know how to scale our technology and our organization effectively.Deeply Integrated AI and Security: We embed AI from the outset rather than layering it on top.Top Talent: We hire only the highest achievers; many on our team were in the top 1% of engineers at Google. If you excelled in your previous role, you will fit right in.Agility: We prioritize speed and efficiency in everything we do.

About Bretton AIBretton AI is at the forefront of artificial intelligence solutions tailored for the financial services sector. Trusted by industry leaders such as Robinhood, Mercury, and Gusto, we specialize in automating crucial operations, with a focus on anti-money laundering and counter-terrorism investigations.Having secured over $95 million in funding from prominent investors like Greylock, Y Combinator, and Thomson Reuters Ventures, our headquarters are situated in the vibrant downtown of San Francisco. Our diverse team comprises individuals from esteemed organizations including SpaceX, Google, Netflix, Stripe, and Plaid.The RoleAs a Senior Infrastructure Engineer, you will be pivotal in creating the robust infrastructure that allows for the deployment of secure and compliant AI systems within major financial institutions, addressing financial crime on a grand scale. Our infrastructure is based on a state-of-the-art, container-native architecture utilizing Docker and Kubernetes to provide reliable, auditable deployments across varied customer environments.Your responsibilities will extend to collaborating directly with our largest clients—institutions that serve billions—to architect, automate, and fortify both our on-premises and cloud environments, ensuring adherence to stringent regulatory and performance standards such as SOC 2 compliance. Your efforts will be guided by genuine customer needs and will have a wide-reaching impact, necessitating the construction of enterprise-grade systems, seamless cooperation with engineering and customer teams, a solid understanding of financial services compliance, and an ability to adapt swiftly to changing requirements.What You’ll DoOversee and enhance our Kubernetes infrastructure, encompassing cluster management, service mesh configurations, and container security protocols.Design and implement advanced delivery pipelines featuring canary deployments, automated rollbacks, and deployment health validations.Develop and sustain our observability infrastructure in Datadog, including dashboards, monitors, SLOs, and distributed tracing capabilities.Lead incident responses for critical outages and proactively assess capacity requirements for low-latency AI inference.Architect and automate secure infrastructure leveraging Infrastructure-as-Code for VPCs, IAM policies, Kubernetes manifests, and private cloud deployments.Maintain and enhance the infrastructure controls that ensure our SOC 2 compliance.Guide customer engagements for enterprise rollouts and mentor mid-level engineers on best practices in infrastructure.What We’re Looking ForMust-Haves:We are seeking candidates who are not only technically proficient but also passionate about working in a dynamic environment that directly impacts the financial sector.

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 Saris AI as an AI Systems Engineer, where you will play a pivotal role in designing and implementing innovative solutions that leverage artificial intelligence technologies. You will collaborate closely with cross-functional teams to develop AI systems that enhance our products and services, driving impactful results for our clients.

About the RoleJoin our innovative team at saris-ai, a pioneering applied AI startup based in San Francisco and Montreal. We are on a mission to redefine the banking industry by addressing a $100 billion annual challenge that is rapidly evolving. Our cutting-edge multi-turn AI agentic systems are at the forefront of this transformation.Our objective is to develop automated solutions that require sophisticated long-context reasoning, seamless tool integration across legacy systems, and stringent compliance mechanisms, particularly in scenarios where conventional answers are elusive.With successful real-world deployments and a rapidly expanding client base, we are seeking passionate and technically adept builders eager to make a significant impact from the start.We are in search of an AI Sales Engineer who will play a pivotal role in enhancing productivity and efficiency within financial institutions through innovative AI solutions. In this role, you will lead discovery calls with various departments to identify workflow challenges and design impactful AI-driven solutions. You will serve as the technical authority during sales cycles, assisting clients in recognizing problems, framing solutions, and articulating ROI.This position combines elements of customer engagement and workflow analysis.Your Key Responsibilities Include:Conduct discovery and technical scoping calls with potential clients to uncover operational inefficiencies in financial institutions.Develop workflow maps and reports to identify bottlenecks and pinpoint opportunities for agentic AI automation.Collaborate with the Sales team to co-manage the pre-sales process from initial discovery to proposal delivery.Engage with executive stakeholders, presenting clear and compelling insights on how Agentic AI can deliver measurable ROI and transform operations at scale.Work closely with cross-functional teams including sales, customer success, and product to ensure customer satisfaction and success.

About Liquid AIFounded as a spinoff of MIT CSAIL, Liquid AI specializes in developing versatile AI systems designed for optimized performance across various deployment platforms, from data center accelerators to on-device hardware. Our commitment to low latency, minimal memory consumption, privacy, and reliability sets us apart. We collaborate with enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we seek remarkable talent to join our journey.The OpportunityAs we establish our solutions architecture function from the ground up, you will play a pivotal role as one of our inaugural Solutions Architects. Collaborating closely with the Head of Solutions Architecture and the go-to-market organization, you will manage customer engagements from inception to completion.Our models are specifically engineered for environments constrained by memory, latency, and power, encompassing edge devices, mobile applications, embedded systems, and on-premises infrastructure where traditional models cannot operate. You will engage with this boundary daily.Our clientele ranges from AI-native startups to established enterprises venturing into AI for the first time. Your mission is to bridge the gap between our models' capabilities and customers' expectations, delivering on that promise from technical validation through to go-live.

Join Our Innovative Team at Simple AIAt Simple AI, we are transforming enterprise communications through cutting-edge voice AI agents. Our highly realistic agents empower leading companies such as DoorDash, xAI, and Omaha Steaks to efficiently manage a variety of phone operations, including customer support, order processing, and lead qualification.As we experience exponential growth and a surge in customer demand, we are seeking a few founding software engineers to help us navigate this exciting journey and develop systems for the future. Our passionate team operates from our vibrant San Francisco office five days a week, driven by a shared vision of leveraging AI to make a significant impact in the world.We are proud to be backed by esteemed investors and operators, including Y Combinator, Massive Tech Ventures, and industry leaders such as Michael Seibel (Twitch), Jared Friedman (Scribd), and more.

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.

David AI builds high-quality audio datasets for AI technologies, working with clients that include major FAANG companies and leading AI labs. Founded in 2024 by former Scale AI engineers and operators, the company recently secured $50 million in Series B funding led by Meritech and NVIDIA. The team values sharp thinking, humility, and ambition, and is expanding across several functions. The Executive Assistant will join the Office of the CEO in San Francisco, working closely with CEO Tomer and supporting the company’s ongoing growth. This position involves direct collaboration with customers, internal teams, and investors, offering a front-row seat to high-level business decisions and daily operations. What you will do Organize and execute team events, offsites, and in-office gatherings. Manage communications for the CEO, determining when to escalate issues or address them independently. Support ad hoc projects spanning recruiting, legal, finance, and business operations. Oversee complex calendar management, prioritization, and scheduling for both internal and external stakeholders. Plan and coordinate travel logistics for team members and prospective candidates. Manage daily office operations, including vendor relationships and supply management. Role overview This role focuses on keeping office operations running smoothly while supporting the CEO and internal teams. Expect involvement in cross-functional projects and a variety of tasks that help maintain organized, efficient processes as David AI scales.

fractional-ai is hiring a Software Engineer to join the team onsite in San Francisco. This role centers on building and improving technology that advances artificial intelligence. Role overview As a Software Engineer, you will work closely with others to develop and support projects that drive the company’s AI initiatives forward. The work involves collaborating with colleagues and contributing technical solutions in a team setting. What you will do Develop software for AI-driven projects Collaborate with team members in the San Francisco office Contribute ideas and technical expertise to ongoing initiatives Requirements Interest in technology and artificial intelligence Ability to work onsite in San Francisco Strong motivation to learn and contribute to team projects

Role OverviewLocation: San Francisco, CA Work Model: In-officeAbout Effective AIAt Effective AI, we are pioneering the future of work, focusing on sophisticated AI solutions for complex knowledge tasks rather than simple, repetitive functions. Our goal is to develop advanced AI Teammates that excel in intricate workflows and collaborate seamlessly with human professionals. Our initial challenge is to revolutionize the trillion-dollar U.S. Property & Casualty insurance sector, an area rich in data and complexity, ideal for our innovative approach.We have successfully secured $10 million in seed funding from prominent investors including Lightspeed Ventures and Valor Equity Partners.Our passionate team operates out of San Francisco, where we value in-person collaboration to address these pressing challenges.Your ResponsibilitiesAs a Founding Software Engineer, you will be an integral member of our founding team, significantly influencing the design and development of our core product from inception. You will confront critical challenges in agentic AI, crafting Teammates capable of managing essential insurance functions such as underwriting and claims processing.Specifically, you will:Facilitate long-term task completion by creating the foundational architecture for AI agents to plan and execute multi-step processes reliably over prolonged interactions.Develop advanced reasoning functionalities, enabling agents to make informed decisions based on ambiguous or incomplete information, akin to human experts.Create intelligent, tool-utilizing agents capable of selecting and employing a variety of external tools—APIs, databases, web searches, and Excel-based pricing algorithms—to gather information and take decisive actions.Design adaptive and learning systems, equipping our AI Teammates to learn from feedback and adjust to evolving conditions such as regulatory changes or market dynamics.Your ProfileWe seek an innovative and driven builder excited to tackle substantial challenges.You possess a solid foundation in computer science and remarkable problem-solving capabilities, evidenced by impactful projects or previous experience.Your genuine enthusiasm for AI fuels your passion for tackling complex issues.

About Bretton AIBretton AI stands at the forefront of AI technology in financial services, empowering companies like Robinhood, Mercury, and Gusto to automate critical operations, focusing initially on anti-money laundering and counter-terrorism investigations.Having secured over $95 million in funding from esteemed investors such as Greylock, Y Combinator, and Thomson Reuters Ventures, we are headquartered in downtown San Francisco. Our talented team hails from some of the world's leading organizations, including SpaceX, Google, Netflix, Stripe, and Plaid.The RoleAs a Sales Engineer, you will serve as the essential technical liaison between our Account Executives and potential clients. Your role is pivotal in helping them understand, adopt, and thrive with our AI solutions. This position requires a unique blend of technical expertise and sales prowess to effectively showcase value, establish trust, and expedite deal closures.You will advocate for our customers, translating their requirements into innovative solutions and delivering crucial insights to our product and engineering teams. You will demonstrate how our state-of-the-art AI can revolutionize compliance operations, engaging with both CTOs and Chief Compliance Officers.What You’ll DoCollaborate with Account Executives to develop and deliver impactful, personalized demos aligned with the specific needs of our prospects.Create proof-of-concepts and prototypes that illustrate how our AI agents can address our customers’ most urgent challenges.Articulate our technical solutions to both business and technical stakeholders in a compelling manner.Effectively address technical objections, including inquiries regarding integration, compliance, and performance metrics.Work closely with the Product and Engineering teams to relay field feedback and shape our product roadmap.Contribute to the creation of sales enablement resources, demo environments, and best practices to enhance the effectiveness of our sales engineering team.What We’re Looking ForMust-Haves:A robust technical background in software engineering, solution architecture, or technical consulting.Exceptional communication and presentation skills, capable of articulating complex AI concepts into clear business value.Proven ability to confidently manage technical discussions and overcome objections.

Join Our Team as a Machine Learning EngineerSaris-AI is a pioneering applied AI startup, based in San Francisco and Montreal, focused on revolutionizing the banking sector. Our mission is to address a colossal $100 billion/year challenge that is rapidly expanding, innovating the limits of what can be achieved with advanced multi-turn AI systems.We aim to automate complex workflows that necessitate long-context reasoning, orchestration of tools across legacy systems, and rigorous compliance processes—solving problems that currently lack definitive solutions.Our team has successfully deployed AI agents that manage real customer workflows effectively in production. As we expand our customer base and accelerate our growth, we are in search of highly skilled technical builders who aspire to make a significant impact in the early stages of our journey.As a foundational Machine Learning Engineer, you will own our entire ML stack and bring custom agents to life.

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.

Join the Bretton AI TeamBretton AI stands at the forefront of innovation, providing an advanced AI agent platform tailored for the financial services sector. Trusted by industry leaders such as Robinhood, Mercury, and Gusto, we specialize in automating crucial operations, particularly in anti-money laundering and counter-terrorism investigations.With over $95 million raised from prestigious investors including Greylock, Y Combinator, and Thomson Reuters Ventures, our headquarters is situated in the heart of downtown San Francisco. Our talented team comprises individuals from renowned organizations such as SpaceX, Google, Netflix, and Stripe, bringing a wealth of experience to our mission.Your Impact as an Enterprise Account ExecutiveAs an Enterprise Account Executive, you will play a pivotal role in introducing our cutting-edge AI solutions to banks and fintech companies combatting financial crime globally. In a rapidly evolving environment shaped by regulatory changes and technological advancements, you will manage the entire sales process for our most significant accounts, collaborating closely with decision-makers in compliance, engineering, and risk management.This essential role within our Go-To-Market (GTM) team offers you the opportunity to work alongside our founding executives, helping to refine our market strategy, acquire new clients, and expand our footprint within major financial institutions.

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.