Staff AI & Data Platform Engineer

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.

Drivetrain is dedicated to enabling businesses to enhance their decision-making processes. Our innovative financial planning and decision-making platform equips companies with the tools they need to scale effectively and meet their objectives with predictability.As a remote-first organization with headquarters in the vibrant San Francisco Bay Area, Drivetrain was established in 2021 by a team of former Google employees. We are a rapidly expanding company, backed by prominent venture capital firms, and are on a path towards significant success. Remote-friendly: At Drivetrain, we unite top talents from around the globe, offering them substantial autonomy and trust. Open & transparent: We believe that when our creators have access to essential information, their best work can emerge. Idea-friendly: We foster an environment where new ideas can flourish, allowing for exploration, risk-taking, and learning from mistakes, empowering you to succeed. We encourage contributions from everyone, letting the best ideas prevail. Customer-centric: Our product-led growth strategy emphasizes continuous learning from our customers and collaboration to build exceptional software.About the RoleWe are looking for enthusiastic Computer Science engineering interns with a passion for Generative AI to join our dynamic team. You will engage in real-world projects that involve Retrieval-Augmented Generation (RAG), Agentic AI, and Large Language Models (LLMs) to elevate our Financial Planning and Analysis (FP&A) platform. This is a unique opportunity to gain practical experience at the convergence of AI and enterprise automation.Key ResponsibilitiesDevelop & Experiment: Create and prototype Generative AI solutions utilizing RAG, agentic workflows, and LLMs tailored for FP&A applications.Collaborate: Work closely with product and engineering teams to integrate AI-driven features into our platform.Optimize: Leverage strong computer science fundamentals to design efficient algorithms, data structures, and scalable systems.Document & Present: Thoroughly document your work, create workflow diagrams, and present findings to the team.Showcase: Complete and present end-to-end projects that demonstrate your technical acumen and problem-solving capabilities.

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

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 AI initiatives from initial concept to final delivery Work with engineering, product, and business teams to embed AI into MongoDB’s platform Evaluate and introduce new technologies that enhance MongoDB’s AI solutions Develop and communicate a long-term vision for AI at MongoDB Location This role can be based in New York City, San Francisco, or performed remotely from anywhere in the United States.

At ClickUp, we are not just creating software, we are crafting the future of work! In a landscape saturated with work complexities, we envisioned a better solution. This vision led to the development of the first genuinely integrated AI workspace, seamlessly combining tasks, documents, chat, calendar, and enterprise search, all enhanced by context-sensitive AI. This empowers millions of teams to break down barriers, reclaim their time, and elevate productivity to new heights. Here at ClickUp, you will have the chance to learn, leverage, and innovate with AI in ways that will not only transform our product but also redefine the future of work itself. Join us in being part of a daring, innovative team that is reshaping possibilities! Role Overview:We are in search of a highly talented and experienced Staff AI Engineer – AI Platform to become a vital member of our ClickUp Engineering team. In this pivotal role, you will significantly contribute to the development of our core AI platform and directly utilize large language models (LLMs) to implement intelligent features across ClickUp. Your focus will be on back-end systems that facilitate scalable, dependable, and secure AI-driven capabilities, while also engaging hands-on with LLMs to address real user challenges and propel product innovation.Key Responsibilities:Design, architect, and implement scalable AI platform services to support the deployment, orchestration, and lifecycle management of LLMs and other AI models.Utilize LLMs and other AI technologies to build and enhance ClickUp’s intelligent features, collaborating closely with product and engineering teams to deliver impactful solutions.Develop and maintain robust APIs and backend systems that facilitate seamless integration of AI-enhanced features into ClickUp’s core platform.Create infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production.Integrate with various LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost-efficiency.Promote best practices in AI privacy, security, and compliance, including data anonymization and secure data handling.Optimize platform performance, scalability, and cost-efficiency, utilizing cloud-native technologies and distributed systems.Stay abreast of advancements in AI infrastructure, MLOps, and LLM applications, and proactively apply relevant innovations to ClickUp’s AI platform.Collaborate cross-functionally with teams to drive AI initiatives.

Mavericks WantedAre you ready to embrace a challenge and redefine the impossible? If this ignites your passion, continue reading.In 2015, we revolutionized the biotech landscape with our unique "moneyball for biotech" strategy—integrating promising early-stage research projects from academia to mitigate risk and foster innovation. This approach empowers scientific exploration and enables small teams of experts to drive breakthroughs. We are committed to advancing treatments for rare diseases and delivering life-changing medicines to patients with unmet medical needs at unprecedented speed.At BridgeBio, we are pioneers, challenging norms, and empowering individuals to tackle complex problems. If you have a spirit that questions conventional wisdom, come join us. Collaborate with some of the most esteemed professionals in the industry as we ask, "Why not?" and help reshape the future of biopharma. Our culture champions curiosity and experimentation, emphasizing ethical and thoughtful AI utilization to enhance work quality, clarity, and efficiency.

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 RoleJoin Hex Technologies as a Product Engineer Intern this summer, where you will play a vital role in developing the next generation of AI-driven data tools.Our mission is to empower users to navigate and engage with data through natural language and advanced AI capabilities. As an intern, you will directly influence product features that are central to how data teams explore, analyze, and collaborate. No prior AI experience is necessary; we value curiosity, enthusiasm, and a readiness to engage with rapidly evolving technologies.This is an exceptional chance to learn from skilled engineers, deliver real features into production, and make significant contributions to one of the most exciting technical fields today.Your ResponsibilitiesAs a Product Engineer Intern, you will collaborate across the technology stack, working alongside mentors and closely with designers, product managers, and AI engineers to create engaging, reliable, and intelligent user experiences.Your tasks will include:Building real product features using React, Typescript, and/or Python that enhance the core workflows utilized by thousands of data practitioners.Collaborating with AI engineers to prototype and refine AI capabilities, develop prompting strategies, and enhance model quality for user-facing applications.Designing and refining end-to-end workflows contributing to features for collaborative editing, data exploration, debugging, and AI-assisted development.Tackling practical engineering challenges such as performance optimization, front-end UX enhancements, and API design to support AI-driven functionalities.Participating in the full development lifecycle, from ideation and design to implementation, testing, and launch.

ABOUT RETELL AIAt Retell AI, we are revolutionizing the call center experience using cutting-edge voice AI technology. In just 18 months since our inception, thousands of companies have leveraged our AI voice agents to streamline sales, support, and logistics operations that previously required extensive human teams. Supported by prominent investors such as Y Combinator and Alt Capital, we have grown from $5M to an impressive $36M ARR with a dedicated team of 20.Our ambitious vision for 2026 is to create a state-of-the-art customer experience platform where entire contact centers are driven by AI. Rather than relying on basic automation that necessitates constant human oversight, we are developing intelligent AI “workers” to function as frontline agents, QA analysts, and managers—constantly executing, monitoring, and enhancing customer interactions.As we rapidly expand, we seek passionate innovators eager to solve complex technical challenges, move swiftly, and make a meaningful impact at one of the fastest-growing voice AI startups. Join us in building the future!Ranked among the top 50 AI applications in the a16z list: https://tinyurl.com/5853dt2xRanked #4 on Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025One of the top startups on the Leana I leaderboard: https://leanaileaderboard.com/THE ROLEWe are in search of a Principal/Staff Engineer to spearhead the technical direction of our core platform. This is an individual contributor role designed for someone who excels in uncertainty, acts swiftly, and elevates the standards of those around them.You will engage with various systems, infrastructure, and product surfaces while collaborating closely with engineering teams, product managers, and leadership to scale successful initiatives and innovate for the future.This role is not about merely addressing tickets; you will identify challenges, engineer solutions, and deliver impactful results.KEY RESPONSIBILITIESLead the design and evolution of our core platform and systems architecture.Oversee complex technical projects from inception to production.Make strategic technical decisions that optimize for speed, reliability, and scalability.Collaborate across teams to facilitate knowledge sharing and best practices.

Join Our Innovative Team at ArcadeAt Arcade, we are revolutionizing the way physical products are created with our cutting-edge AI platform. We empower individuals to turn their creative ideas into tangible products seamlessly, utilizing natural language and generative AI. Our mission is to democratize product design, making it as effortless as sharing a post online.Backed by a remarkable $42M in funding from industry-leading investors including Reid Hoffman and Ashton Kutcher, our company is a rising star in the tech landscape. Guided by our founder Mariam Naficy and a team steeped in AI and design expertise, we are at the forefront of a new frontier that merges AI, personal expression, and on-demand manufacturing.Your Role as an Applied AI EngineerWe are on the lookout for an Applied AI Engineer to enhance our generative AI capabilities. This position combines hands-on model development with the integration of advanced AI techniques into our production systems. You will collaborate with diverse teams to conduct research, experiment with models, and implement AI-driven products.

Role overview Harvey seeks a Staff Software Engineer to strengthen the AI Platform team in San Francisco. The position focuses on designing and building advanced software solutions that extend the platform’s AI features. Collaboration is central to this role. The engineer will work closely with colleagues across different teams to deliver systems that are both scalable and efficient. Every project supports Harvey’s broader mission and long-term goals. What you will do Design and implement software components that enhance AI capabilities Work with teams throughout the company to deliver reliable, high-performance systems Contribute to platform improvements that support Harvey’s mission Location This position is based in San Francisco.

About Scale AI At Scale AI, we are on a mission to revolutionize the development of artificial intelligence applications. Over the past eight years, we have established ourselves as the premier AI data foundry, driving groundbreaking advancements in generative AI, defense technologies, and autonomous vehicles. Following our recent Series F funding round, we are poised to expand our capabilities in providing frontier data, furthering our commitment to achieving Artificial General Intelligence (AGI). Our focus remains on enhancing model evaluation processes for both enterprise clients and government entities. About the Data Engine Our Generative AI Data Engine is instrumental in powering the most sophisticated large language models (LLMs) and generative models through exceptional Reinforcement Learning with Human Feedback (RLHF), human data generation, model evaluation, safety measures, and alignment. The data we generate plays a crucial role in shaping how humanity interacts with AI technologies. About the Billing Team We are actively seeking innovative Software Engineers to join our dynamic Billing Platform team. In this pivotal role, you will spearhead the development of our revenue tracking and billing system for Generative AI products. Your responsibilities will include designing versatile systems to accommodate diverse customer billing scenarios, implementing intricate billing partitioning strategies based on real-time criteria, and enhancing customer invoice generation along with balance visibility. You will gain extensive exposure to cutting-edge AI applications across enterprises, startups, government agencies, and major technology firms. The ideal candidate is a naturally entrepreneurial engineer who thrives in ambiguous environments, taking charge of outcomes through coding, customer interaction, requirements definition, and more. We believe that the most effective engineers take ownership of outcomes and possess a profound understanding of customer challenges.

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...

Join our innovative team at Abridge as a Software Engineer specializing in Generative AI. In this role, you will be at the forefront of developing cutting-edge AI applications that transform the way users interact with technology. With a focus on creativity and functionality, you will collaborate with cross-functional teams to design and implement robust software solutions that harness the power of AI.

About Scale AIAt Scale AI, we are dedicated to accelerating the advancement of AI technologies. For over eight years, we have been a frontrunner in AI data solutions, driving groundbreaking developments in areas such as generative AI, defense systems, and autonomous vehicles. Following our recent Series F funding, we are committed to expanding access to frontier data, paving the way toward Artificial General Intelligence (AGI), while enhancing our model evaluation capabilities for both corporate and governmental clients.About Data EngineOur Generative AI Data Engine fuels the world's most sophisticated language models and generative systems through exceptional Reinforcement Learning with Human Feedback (RLHF), human data creation, model assessment, safety measures, and alignment strategies. The data we generate is pivotal in shaping how humanity interacts with AI.Our ApproachDuring the interview process, candidates may be considered for positions across various teams within the Generative AI Engineering division, depending on their interests, skills, and organizational needs. Potential teams include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams drive Scale’s AI data operations—from developing impactful datasets that expand LLM capacities to refining contributor engagement and ensuring data integrity through advanced safety and security protocols. They operate at the intersection of machine learning, operations, and analytics to guarantee the delivery of high-quality data at scale.

Plasmidsaurus helps scientists worldwide by streamlining sequencing. Researchers from leading institutions and companies rely on this platform daily. With a global network of labs, the company delivers fast, affordable sequencing results, and has recently expanded into RNA-seq to broaden its genomics reach. The team is focused on building a universal sequencing platform designed for efficiency and global scale. Role overview The Lead Engineer for AI Infrastructure in Platform Engineering sets both technical direction and management strategy for the company’s compute, data, AI, and security infrastructure. This position oversees the entire sequencing operation, from laboratory devices to data delivery. What you will do Oversee core services that coordinate laboratory devices, including robots, sequencers, and on-premises Linux servers, as well as the data ingestion pipeline. Develop cloud infrastructure and data pipelines for storing, processing, and delivering terabytes of sequencing data. Design systems to manage millions of bioinformatics tasks, handling queue management, workflow orchestration, and scheduling. Build AI infrastructure and internal tools to support autonomous systems, including: Quality Scientist Agents: Monitor operations, detect anomalies, and escalate quality or reliability concerns. Logistics Agents: Coordinate global transportation of samples to labs and carriers. Bioinformatics Coding Agents: Run adaptive analyses on varied sample types with different data distributions. Culture The team values initiative and a strong sense of ownership. High agency and responsibility shape how work gets done at Plasmidsaurus.

Who Are We?Postman stands as the premier API platform globally, empowering over 45 million developers and 500,000 organizations, including 98% of the Fortune 500. Our mission is to facilitate a seamless API-first world by simplifying every stage of the API lifecycle and enhancing collaboration—enabling users to build superior APIs more efficiently.Headquartered in San Francisco, Postman has a global presence with offices in Boston, New York, Austin, Tokyo, London, and Bangalore, where we were established. As a privately funded company, we are backed by esteemed investors including Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Discover more at postman.com or engage with us on X via @getpostman.P.S: We encourage you to explore The "API-First World" graphic novel for a deeper insight into our vision at Postman.The OpportunityIn the role of Head of AI Platform Engineering at Postman, you will spearhead the integration of AI development within our expanding API platform. You will be responsible for steering the AI roadmap with an emphasis on enhancing AI-driven API collaboration and intelligent capabilities throughout the platform. This position seeks a visionary leader adept at identifying market trends, orchestrating cross-functional AI initiatives, and cultivating robust partnerships to elevate the impact of the Postman AI platform.What You’ll DoDirect the formulation and execution of Postman’s AI platform strategy, concentrating on the growth of the API ecosystem and innovation within the platform.Lead the AI roadmap, focusing on API integration, platform expansion, and AI-enabled agent functionalities.Identify and leverage market opportunities for AI-enhanced API collaboration and intelligent agent features.Work collaboratively with business units, product teams, engineering, and external partners to ensure successful deployment of AI initiatives.Oversee implementation with major AI platforms (OpenAI, Anthropic, AWS, etc.), ensuring both technical and strategic alignment with AI features and improvements to the API lifecycle.Inspire and mentor internal teams and external collaborators to embrace innovation in AI within API contexts.Continuously assess emerging AI technologies and tools to enhance platform capabilities.About YouDemonstrated leadership experience managing AI or platform teams, ideally within API-centric environments.