Head of AI Platform, General Manager

Role overview MongoDB is seeking a Head of AI Platform, General Manager to lead its AI strategy and drive key projects. This senior leader will play a central role in shaping the future of AI at MongoDB, working closely with teams across the organization to strengthen AI capabilities. What you will do Set the overall AI platform strategy for MongoDB Oversee …

About AbridgeFounded in 2018, Abridge is dedicated to enhancing understanding in healthcare through our innovative AI-powered platform. We specialize in transforming medical conversations into structured clinical notes in real-time, enabling clinicians to prioritize patient care. Our enterprise-grade technology seamlessly integrates with electronic medical records (EMRs) to ensure accuracy and trust in AI-generated summaries.As pioneers in generative AI for healthcare, we are setting the industry benchmarks for responsible AI deployment across health systems. Our diverse team consists of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers united in their mission to empower patients and make healthcare more comprehensible. We have offices located in San Francisco's Mission District, New York's SoHo neighborhood, and East Liberty in Pittsburgh.The RoleJoin us as an AI Platform Engineer, where your work will significantly impact the healthcare sector. You will collaborate with a multidisciplinary team of researchers, clinical scientists, and product engineers to design and develop the runtime, orchestration engine, and evaluation platform necessary for agentic orchestration and LLM-driven workflows.What You’ll DoCreate GenAI systems that transform LLMs into composable, reliable tools, utilizing retrieval, tool use, agentic reasoning, and structured outputs.Develop a highly reliable and scalable agent runtime that includes orchestration, shared state and memory, tool-calling interfaces, and scheduling focused on cost, latency, and quality.Build secure, sandboxed environments for agent actions and code, optimizing for cold start, isolation, and observability.Deliver unified interfaces for multiple model sizes and providers; integrate with open tool ecosystems such as MCP-style connectors.Create an evaluation platform for both online and offline assessments, A/B testing, safety checks, and regression gates that enhance agent reliability over time.Collaborate with Research to bring new agent capabilities from prototype to production.What You’ll BringDemonstrated experience in building agent applications with tool-calling, context engineering, and related technologies.Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.Familiarity with generative AI technologies and their applications in healthcare.

We appreciate your interest in joining the Uncountable Engineering team!About the RoleUncountable is on the lookout for passionate software engineers who specialize in deploying Generative AI within software applications.Our software platform is utilized by scientists at top R&D organizations to efficiently structure and analyze experimental data. The researchers leveraging our platform are tackling significant challenges in materials science, chemistry, biotechnology, and other scientific domains. Our mission is to empower them to overcome these challenges with greater speed and efficiency.In this role, you will harness the latest advancements in large language models (LLMs) to address the everyday obstacles faced by scientists. You will be responsible for developing AI-enhanced search and visualization tools, innovative user experiences utilizing multimodal LLMs, intelligent research assistants, and much more. This is a rare chance to be at the forefront of accelerating scientific innovation through LLMs and generative AI.Your Responsibilities:Design and implement LLM-powered features from start to finish, encompassing both LLM-specific tasks (prompting, latency optimization, behavior tuning/testing) and conventional full-stack development (frontend/backend coding, API design, and database architecture).Create a robust in-house LLM architecture to meet the evolving demands of our product (including API integration, testing, observability, caching, and infrastructure for fine-tuning and inference).At Uncountable, we pride ourselves on a culture of continuous deployment and rapid iteration. You will have the opportunity to release your work frequently to our users and refine it based on their feedback.The features you develop will often represent groundbreaking approaches to software applications, allowing you to take on diverse roles as a designer, researcher, engineer, product manager, and more to craft outstanding products. This position is ideal for individuals eager to quickly enhance their skills and perspectives or those aspiring to start their own ventures in the future.Salary Range: $120K-$160K + Equity

Thank you for your interest in Uncountable Engineering!Position Overview‍Uncountable is on the lookout for passionate software engineers who specialize in the deployment of Generative AI solutions.Our innovative software platform empowers scientists at leading R&D organizations to efficiently structure and analyze experimental data. Users from various disciplines, including materials science, chemistry, and biotechnology, are leveraging our platform to tackle complex problems, and our mission is to expedite their research endeavors.In this role, you will harness the latest advancements in Large Language Models (LLMs) to address real-world challenges faced by scientists daily. Your responsibilities will include developing AI-driven search and visualization tools, next-gen user experiences utilizing multimodal LLMs, intelligent research assistants, and much more. This is a unique chance to contribute to a transformative movement aimed at accelerating scientific discovery through generative AI.Key ResponsibilitiesYou will be tasked with:- Crafting end-to-end LLM-powered features, encompassing LLM-specific tasks (prompting, latency optimization, and behavior tuning/testing) alongside traditional full-stack development responsibilities (frontend/backend coding, API and database design).- Building a robust in-house LLM infrastructure to meet the evolving demands of our products (API integration, testing, observability, caching, infrastructure for fine-tuning and inference, etc.).At Uncountable, we cultivate a strong culture of continuous deployment and rapid iteration cycles. You will frequently ship your work to users and refine it based on their feedback.Many of the features you create will pioneer new and innovative software applications, allowing you to take on varied roles as a designer, researcher, engineer, product manager, and more. This position is ideal for individuals eager to quickly enhance their skills and perspectives or those aspiring to launch their own ventures in the future.Salary Range: $120K-$160K + Equity

At Scale AI, we are revolutionizing data infrastructure to empower the world’s most sophisticated AI systems. As the trusted data partner for pioneering model developers and enterprise AI teams, we deliver high-quality training data, evaluation frameworks, and human feedback systems that enhance the intelligence, safety, and effectiveness of AI models. Operating as a two-sided marketplace, we cater to a diverse clientele on the demand side, including top-tier AI labs and enterprises requiring expert-curated data for model training and evaluation. On the supply side, we leverage a global network of over 500,000 skilled contributors across 100+ countries, who perform intricate annotation, evaluation, and data generation tasks critical to AI advancement. As a Product Manager at Scale, you'll bridge these two realms, shaping the tools, systems, and experiences that drive our marketplace's unmatched quality and scalability. We are seeking Product Managers to join our dynamic GenAI organization across multiple teams. These positions will focus on both demand-side products (tools and platforms used by our clients) and supply-side products (systems that support our contributor ecosystem). Each role presents a chance to tackle high-impact, technically challenging problems at the forefront of AI, supported by dedicated teams in engineering, design, and data science. About the Role In this role, you will contribute to Scale’s GenAI platform, enabling leading AI companies—from innovative model labs to Fortune 500 enterprises—to create exceptional training data that enhances their models' performance. Expect to collaborate extensively with engineering, design, data science, operations, finance, growth, and customer-facing teams. The problems you will address are technically intricate, the pace is rapid, and your impact will be quantifiable. Regardless of whether you focus on the demand side (developing products for customers to create and evaluate training data) or the supply side (building systems for our global contributor network), you will take full ownership of your product area from strategy through execution and measurement. As a growth-stage company, Scale combines the resources of a well-funded leader with the urgency and innovation of a startup. Product Managers here enjoy significant autonomy, frequent shipping of solutions, and are expected to be hands-on and highly analytical. Example Product Management Openings: Task UX (Demand Side) — Take charge of the entire tasking product lifecycle. You will define task design, enhance contributor interaction through multi-turn chat interfaces, and enforce quality across various conversational modalities. This is a vital area for...

At Drivetrain, our mission is to empower businesses to make informed decisions. Our innovative financial planning and decision-making platform enables companies to scale effectively and meet their objectives predictably.As a remote-first organization based in the San Francisco Bay Area, Drivetrain was founded in 2021 by former Google employees. With the support of leading venture capital firms, we are rapidly growing and poised for success. Embracing Remote Work: We unite talented individuals from around the world, offering them a high degree of autonomy and fostering a culture of trust. Open and Transparent Environment: By providing our team with access to essential information, we encourage the emergence of their best ideas. Idea-Friendly Culture: We cultivate an atmosphere where innovation thrives, allowing anyone to propose great ideas and drive positive change. Customer-Centric Approach: Our product-led growth strategy emphasizes continuous learning from our customers to develop exceptional software.Role OverviewWe are on the lookout for enthusiastic Computer Science engineering interns who are passionate about Generative AI. You will engage in real-world projects involving Retrieval-Augmented Generation (RAG), Agentic AI, and Large Language Models (LLMs) to elevate our Financial Planning & Analysis (FP&A) platform. This internship provides a unique opportunity to gain practical experience at the intersection of AI and enterprise automation.Key ResponsibilitiesDevelop and Innovate: Create and prototype Generative AI solutions using RAG, agentic workflows, and LLMs tailored for FP&A applications.Collaborate: Partner with product and engineering teams to seamlessly integrate AI-driven functionalities into our platform.Optimize: Utilize strong computer science principles to design efficient algorithms, data structures, and scalable systems.Document and Present: Thoroughly document your projects, create workflow diagrams, and present findings to the team.Showcase: Complete and demonstrate comprehensive projects that exhibit your technical prowess and problem-solving abilities.

Join Strava as a Platform Engineer specializing in Generative AI and Machine Learning. In this pivotal role, you will drive the development of innovative platforms that enhance user experiences and push the boundaries of technology. Collaborate with a dynamic team of engineers and data scientists to create scalable solutions that utilize advanced AI techniques. Your work will directly influence the future of our products and services, making a significant impact on athletes and fitness enthusiasts worldwide.

Role Overview: Join Scale AI, a leader in the AI revolution, as we collaborate with the U.S. government and global partners to harness the power of generative AI (GenAI). We are on the lookout for an innovative product leader to spearhead the development of our Agentic AI platforms, which are designed to address critical national security challenges and support high-stakes decision-making. The ideal candidate will possess a robust understanding of product leadership, software engineering principles, and extensive expertise in ML/AI application development. You should have a proven track record in managing complex projects that involve multiple stakeholders or AI-focused initiatives within government or highly regulated environments, with a strong emphasis on ethical AI deployment and effective risk management practices. This role demands a strategic thinker who can adeptly navigate the intricacies of government GenAI projects, ensuring that Scale's public sector AI solutions align with agency goals while meeting stringent security and compliance standards. As the product manager, you will oversee the entire lifecycle of the generative AI platform, which entails product design, program execution, capability prioritization, stakeholder engagement with various government entities, defining engineering scope, crafting detailed project plans, and managing resource allocation and budget considerations. A significant focus will be placed on guaranteeing that Scale's public sector AI solutions operate securely within controlled network environments and are properly configured to enhance government workflows related to national defense. Examples of the GenAI applications we develop include: Agentic warfare and scenario planning Integration of indications and warnings for safeguarding critical continental assets Advanced research capabilities for evaluating extensive classified documentation Dynamic report generation across multiple customized templates Text2SQL intelligence applications to improve analyst efficiency and foster a data-driven decision-making culture Your Responsibilities: Design and develop enterprise-grade solutions leveraging cutting-edge AI and AI agents to deliver exceptional value to public sector clients. Collaborate with Scale executives and clients to shape and execute the product strategy for the business. Take ownership of the end-to-end product development process by identifying customer pain points, defining product requirements, and managing development, testing, and launches. Lead cross-functional teams that include engineering, product design, operations, marketing, and other relevant departments.

Join Figma, a cutting-edge company revolutionizing design collaboration, as a Product Manager for our AI Platform. In this pivotal role, you will lead the development of innovative AI-driven solutions that enhance user experience and streamline workflows. You will work closely with cross-functional teams to define product vision, prioritize features, and deliver impactful results.

Join Our Team as Head of Growth and Demand GenerationLocation: San Francisco (Hybrid schedule, 2-3 days per week in-office)Employment type: Full-timeAt AllSpice, we are revolutionizing the hardware engineering landscape by providing a collaborative platform for teams to automate and enhance their workflows. By integrating advanced software development practices with AI technology, we are transforming a $6.5 billion industry in how hardware is designed, built, and collaborated on, driving innovation across electronic teams globally.As we embark on a rapid growth phase, we are seeking a Head of Growth and Demand Generation to spearhead our enterprise demand and pipeline generation efforts. This role is pivotal to our success, as you will be responsible for establishing a top-tier, predictable, and scalable enterprise demand generation mechanism.Role OverviewThis hands-on leadership position is designed for an operator who excels in fast-paced startup environments and desires direct accountability for results. Reporting directly to the CEO, you will be tasked with the design, execution, and ongoing optimization of AllSpice’s comprehensive demand strategy. Your mission is to create a reliable and repeatable enterprise pipeline that fuels our growth ambitions.This is inherently a player-coach role. The ideal candidate will be equally adept at analyzing funnel performance and formulating strategies while also being willing to dive into executing campaigns, experimenting with channels, and swiftly adapting based on data insights. Your success will be quantified by the quality, velocity, and consistency of the pipeline, with clear ownership of demand generation and accountability for revenue impact rather than mere activity metrics.Your ResponsibilitiesEnterprise Demand Generation: Develop, implement, and refine AllSpice’s comprehensive demand generation strategy to meet pipeline and revenue objectives.Predictable Pipeline: Create a structured, reliable sales pipeline that aligns with our growth goals.

Airbnb, Inc. is looking for a Staff Platform Manager to lead AI Personalization for customer support in the United States. This position centers on developing and executing product strategy for the AI systems that help millions of guests and hosts receive support tailored to their needs. The AI Personalization team maintains the core systems that allow Airbnb’s support AI to understand context and respond with empathy, accuracy, and sound judgment. The goal: ensure every user receives support that feels as thoughtful and effective as Airbnb’s best human agents. Role overview The Staff Platform Manager oversees the full personalization stack, from retrieval systems to the AI interface. This role shapes product direction, drives adoption across Airbnb’s platforms, and champions a support experience that adapts to each guest and host. What you will do Define the long-term vision for personalized community support, ensuring AI understands and advocates for users as a skilled human would. Partner with data scientists, machine learning teams, and operations to identify and develop impactful personalization signals. Collaborate with ML engineers on contextual retrieval systems and prompt design for AI models. Create a multi-year product roadmap to advance AI support for the Airbnb community. Keep customer experience central in all aspects of platform design and delivery. Requirements Experience building or managing technical platforms, ideally in AI or personalization. Comfort working closely with engineering and data science teams on complex systems. Strategic mindset for long-term product planning and execution. Strong commitment to customer experience and delivering personalized interactions at scale.

Leona develops AI-powered tools to make healthcare more accessible, aiming to give people greater control over their health no matter where they live. The company’s platform streamlines doctor-patient communication, starting with WhatsApp, and uses an AI clinical assistant to automate non-urgent tasks, flag important issues, and offer patients continuous access to care teams. The team draws on experience from Uber, Rappi, Modern Fertility, and Wonder, and operates from San Francisco and Mexico City. Role overview The Head of Product, AI leads product strategy and execution for Leona’s AI-driven healthcare platform. This leader shapes how patients and providers interact with the platform and helps define the next generation of digital healthcare tools. Who thrives in this role Builders who like to create new products from the ground up People comfortable with ambiguity and frequent change Those motivated to improve healthcare for both patients and providers Location This position is based in San Francisco. Investors a16z General Catalyst Accel Angel investors, including founders of Nubank, Rappi, and Maven Clinic

At Databricks, we are driven by a passion for empowering data teams to tackle the world's most challenging problems—from realizing the next mode of transportation to accelerating the pace of medical advancements. We achieve this by developing and maintaining the premier data and AI infrastructure platform, enabling our clients to leverage deep data insights for business improvement. Founded by engineers with a strong customer focus, we eagerly embrace opportunities to confront technical challenges, from crafting next-generation UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And this is just the beginning.About the Team:The AI Platform team is dedicated to constructing the infrastructure that underpins large-scale machine learning and AI operations on Databricks. Our offerings encompass the entire ML lifecycle—from feature engineering and model training to model deployment and monitoring—empowering data and AI teams to confidently build, deploy, and manage production ML systems. We engage with some of the most technically demanding areas of the platform, including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, vector search, and feature stores.Our mission is to simplify the process for enterprises to deploy AI at scale. We accomplish this by delivering a unified, governed, and high-performance AI platform that seamlessly integrates with the Databricks Data Intelligence Platform—linking MLflow, Unity Catalog, Model Serving, Vector Search, Feature Engineering, LLM, and Agent infrastructure into a unified experience. You will be part of a team that delivers products utilized by thousands of the world's leading data and AI organizations.In this role, you will shape the vision and roadmap for AI platform product areas, determining how customers build, train, deploy, and monitor AI and ML systems on Databricks. You will work collaboratively across engineering teams to provide a comprehensive and powerful transition from experimentation to production.

Lambda, recognized as The Superintelligence Cloud, is a pioneering force in AI cloud infrastructure, empowering tens of thousands of customers, from AI researchers to large enterprises and hyperscalers. Our mission is to make computational power as accessible as electricity, providing everyone the capability of superintelligence—one person, one GPU.Join us in our quest to build the world’s leading AI cloud platform.Note: This role mandates in-office presence in our San Francisco location four days a week; Lambda’s designated remote work day is Tuesday.As an Engineering Manager at Lambda, you will lead the charge in developing and scaling our cloud offerings, which encompass the Lambda website, cloud APIs, and internal tools for deployment, management, and maintenance.

About UsAt Sully.ai, we are dedicated to transforming healthcare into a more accessible and efficient system for everyone.We firmly believe that having access to a great doctor is a fundamental human right. Unfortunately, the current healthcare landscape is riddled with delays, misdiagnoses, administrative burdens, and clinician burnout.Our Mission: One Human, One Doctor. We create AI-driven assistants that support healthcare professionals — including scribes, nurses, receptionists, and translators — utilizing our proprietary, state-of-the-art models deployed in real-world clinical settings.Our AchievementsOver 450 organizations have partnered with us in just 16 months.Our AI agents save approximately 2.8 hours of administrative work daily and reduce onboarding time by 85%.We have successfully completed over 5 million clinical tasks across 36+ specialties.Secured $25 million in funding from renowned investors including Y Combinator, Eric Yuan, Amity, and Semper Virens.Our patented AI architecture, MedCon-1, demonstrates superior performance over GPT-4.5, Gemini, and Claude in clinical reasoning tasks.At Sully, we seek high-performing individuals capable of delivering outputs that exceed expectations.About the RoleWe are looking for a Head of Product to spearhead a specific Agent, driving Sully.ai's product roadmap from conception to completion while aligning with our mission and growth objectives. You will oversee discovery, design, and delivery throughout the entire product lifecycle, collaborating closely with Engineering, Data Science, Sales, and Marketing to translate customer insights into impactful features that address pressing healthcare challenges.Key ResponsibilitiesLead a specific Agent to implement Sully.ai’s product roadmap, ensuring alignment with our mission and growth targets.Drive the discovery, design, and implementation of features that address critical healthcare issues.Collect and transform customer feedback into meaningful product improvements.Collaborate with Engineering, Data Science, Sales, and Marketing teams to expedite execution.Manage the entire product lifecycle from ideation to scaling.Essential QualificationsDemonstrable track record in product management with a focus on healthcare technology.Experience in leading cross-functional teams to deliver high-quality products.Strong analytical skills to derive insights from data and customer feedback.Ability to thrive in a fast-paced environment and manage multiple priorities.Exceptional communication skills, both verbal and written.

Role Overview SoFi is hiring a Director of AI Platforms to guide the development and implementation of artificial intelligence across its financial services. This leader will set direction for strategic AI initiatives, manage a skilled team of data scientists and engineers, and ensure that AI solutions deliver meaningful results for customers. Key Responsibilities Shape and drive AI strategy to support SoFi’s business goals Oversee the design and deployment of AI solutions within financial products Lead, mentor, and grow a multidisciplinary team of data scientists and engineers Collaborate with stakeholders to identify opportunities where AI can improve customer experience Location San Francisco, CA Seattle, WA

About David AIDavid AI is pioneering the field of audio data research, applying rigorous R&D principles to create datasets akin to those utilized by AI laboratories. Our mission is to seamlessly integrate AI into everyday life, leveraging the unique advantages of audio as a medium. As the demand for high-quality training data surges, especially in the evolving landscape of audio AI, David AI is positioned at the forefront of this transformation.Founded in 2024 by a talented group of former Scale AI engineers, we have quickly gained traction, securing partnerships with major FAANG companies and leading AI research labs. Recently, we successfully completed a $50M Series B funding round, attracting investments from esteemed firms like Meritech, NVIDIA, and First Round Capital.Our team embodies sharp intellect, humility, ambition, and a close-knit culture. We invite exceptional minds in research, engineering, product, and operations to join us in our quest to advance the boundaries of audio AI.About our Data Operations TeamThe Data Operations team is the powerhouse behind David AI's Data Factory, dedicated to converting raw audio into premium training datasets for top AI labs. Our focus is on rapidly developing new data pipelines and executing them on a grand scale.This entails initiating from a model capability we aim to unlock, experimenting with diverse data shapes and collection methods, and validating these approaches with researchers. Once a method proves effective, we industrialize it, creating pipelines that process audio data with unwavering reliability, quality, and efficiency. We are relentless operators who excel in dynamic environments, equally adept at prototyping innovative workflows as we are at managing extensive production systems.Your Role as General Manager of Data OperationsIn the role of General Manager, you will oversee a pivotal function within David AI. You will be responsible for a significant segment of our Data Factory, which serves as the engine for generating high-quality, scalable data. Your leadership will guide the team in constructing and expanding pipelines, transitioning from initial experiments that unlock new model capabilities to large-scale industrialization that ensures reliable and efficient data processing.

Join our dynamic Finance team at Scale AI, where we are committed to making informed and financially robust decisions that propel our organization forward. As a critical partner to our leadership team, you'll play an integral role in shaping strategic, financial, and operational outcomes. We are seeking a talented and versatile finance professional to support our rapidly evolving Generative AI (GenAI) sector. In this collaborative role, you will work alongside Product, Operations, Growth, and Go-to-Market leaders, infusing financial discipline into decision-making processes, generating actionable insights to drive our strategy, and establishing scalable systems to support our growth. This position is perfect for an individual with 4-6 years of experience in a high-growth, fast-paced environment. You should thrive in conditions of uncertainty, adeptly manage multiple projects, and possess a unique blend of analytical precision, business insight, and execution strength.

Join Databricks Mosaic AI as a Senior Machine Learning Engineer and take the lead in developing our cutting-edge generative AI platform. Our team, formed in late 2020, empowers businesses by allowing them to securely fine-tune, train, and deploy custom AI models using their own data. This ensures maximum security and control while being compatible with all major cloud providers, allowing for unparalleled flexibility in AI development.Since our integration into Databricks in July 2023, we have been dedicated to tackling some of the world's most challenging problems, from revolutionizing transportation to accelerating medical advancements. We leverage deep data insights to enhance our customers' business capabilities and thrive on overcoming technical challenges to deliver superior data and AI solutions.Role Overview:As a Senior Machine Learning Engineer, you will play a pivotal role in the design and implementation of our generative AI platform, covering the entire ML development lifecycle, including data generation, training, evaluation, serving, and agent-building. Your expertise will be essential in translating user requirements into intuitive product interfaces while constructing robust backend distributed systems that drive these features.

About the RoleWe are seeking a dynamic and entrepreneurial product leader for the position of Associate Director of Product (AI Platform). In this key role, you will spearhead our product strategy to enhance the capabilities of the Gravity platform, aiming to reach and serve millions of users. This is a pivotal opportunity to lead and expand our product team, directly impacting the healthcare landscape.A Day in the LifeChampion the AI product roadmap for the Intelligence layer of Gravity, focusing on Search, Agents, Orchestration, and Explainability from backlog to general availability.Engage deeply with health system customers to identify production challenges with AI and incorporate these insights into the product roadmap.Transition early-stage projects from pilot to production, transforming initial deployments into enterprise-grade solutions.Collaborate closely with engineering teams to deliver products efficiently, leveraging AI-assisted development practices and ensuring high quality and rapid resolution of bottlenecks.Establish and uphold AI quality standards, focusing on confidence scoring, hallucination thresholds, audit trails, and explainability.Develop Agent Lifecycle Management capabilities to streamline the build, test, deploy, and monitoring processes for agents at scale.Evaluate build, buy, or partner options for AI orchestration, validating hypotheses with engineering and partners like Databricks and LangChain.Lead customer-facing AI discussions, translating complex AI concepts into tangible business and clinical value.Work across time zones, collaborating with India-based engineering and PM teams, and traveling to India quarterly to foster relationships.Formulate frameworks and strategies to assess the competitive landscape and explore potential data partnerships.Design for international expansion to facilitate quicker market launches and partnerships.This is an onsite role based in San Francisco, CA, requiring five days a week in the office.