Lance jobs

Senior Software Engineer HQ | Remote ABOUT LANCEDB LanceDB http://lancedb.com/ is the preeminent data platform for multimodal AI use cases. From hyper-scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large-scale AI datasets, LanceDB is the best foundation for your AI application, and powers some of the most groundbreaking applications and challenging requirements today. ABOUT THE ROLE We're looking for a Senior Software Engineer to help expand the reach of Lance and LanceDB within the broader data infrastructure ecosystem. You'll work at the intersection of high-performance computing, big data, and open-source systems. You will contribute scale and performance improvements, integrations with the wider data and AI ecosystem, simplifying distributed operations, and usability and maintainability enhancements. YOU'LL BE RESPONSIBLE FOR - Designing and maintaining efficient distributed Lance dataset operations - Building efficient indices to enable predicate pushdown and accelerate queries in Spark, Ray, or Trino - Working on table formats, data encodings, and various aspects of the Lance format in Rust - Driving open-source community efforts to integrate the Lance format with Spark, Hive Metastore, Presto, Trino, Ray, and other data infrastructure systems - Operating and improving internal data processing infrastructure - Promoting the Lance format in open-source communities and at Big Data conferences REQUIREMENTS - 10+ years of experience building high-performance databases, big data systems, or large-scale data services - Deep understanding of internals of open-source Big Data or AI training systems (e.g., Hadoop, Spark, Flink, Ray, Iceberg, Delta Lake, Hudi, ClickHouse, Trino,

Founding Software Engineer San Francisco | OnSite Company Description Lance (YC W26) develops autonomous AI agents that handle calls, close sales, and manage operations, enabling your team to focus on providing excellent guest experiences. Trusted by leading hotel groups across the U.S., Lance supports 50+ hotels with brands like Marriott, Hilton, and Hyatt. Using advanced Computer Use Agent technology, Lance agents integrate seamlessly with existing hotel software to make real-time decisions and efficiently manage complex tasks. Role Description This is a full-time on-site role for a Founding Software Engineer based in San Francisco, CA. The Founding Engineer will be responsible for leading the design, development, and deployment of cutting-edge software solutions. Key responsibilities include collaborating with the core team to architect and build scalable infrastructure, optimizing system performance, and driving innovative features for autonomous AI agents. As an integral team member, the Founding Engineer will impact product direction, tackle complex technical challenges, and shape the future of the company. Qualifications - Work 996 In-Person San Francisco - Proficiency in software development, programming languages (e.g., Python, JavaScript, or similar), and architectural design - Experience with machine learning, AI development, or related technologies - Ability to design and build scalable systems, including knowledge of cloud infrastructure and deployment pipelines - Strong problem-solving skills, debugging, and optimizing performance of applications - Excellent team collaboration, communication skills, and ownership mentality - Interest in working in a startup environment with a focus on innovation and growth - Bachelor's degree or higher in Computer Science, Engineering,

Product Marketing Manager San Francisco | OnSite Company Description Lance is revolutionizing the hospitality industry with autonomous AI agents that handle tasks such as answering calls, closing sales, and managing operations, enabling teams to focus on guests. Trusted by leading hotel groups in the United States, Lance supports over 50 hotels, including renowned brands like Marriott, Hilton, and Hyatt. Built on advanced Computer Use Agent technology, Lance's AI agents integrate seamlessly with hotel software, make real-time decisions, and execute complex multi-step tasks efficiently. By automating operational workflows, Lance empowers hotels to deliver enhanced guest experiences. Role Description The Product Marketing Manager will develop and execute go-to-market strategies for new product features and launches, crafting clear and compelling messaging that differentiates Lance in the hospitality and AI markets. A key aspect of the role will be managing third-party vendors, including videographers and creative partners, to produce high-quality marketing content that aligns with Lance's brand and go-to-market strategy. This role involves close collaboration with Product and Engineering teams to deeply understand product capabilities and the roadmap, while enabling Sales and Solutions teams with effective pitch decks, demos, case studies, and objection-handling materials. The Product Marketing Manager will conduct market research and competitive analysis to identify opportunities and refine positioning, as well as gather and synthesize customer insights to inform both marketing strategy and product development. Additionally, the role includes driving content creation across website, email, and outbound channels to support demand generation, and continuously measuring and optimizing campaign performance, messaging effec

Product Specialist San Francisco | OnSite Company Description Lance (YC W26) develops autonomous AI agents that handle calls, close sales, and manage operations, enabling your team to focus on providing excellent guest experiences. Trusted by leading hotel groups across the U.S., Lance supports 50+ hotels with brands like Marriott, Hilton, and Hyatt. Using advanced Computer Use Agent technology, Lance agents integrate seamlessly with existing hotel software to make real-time decisions and efficiently manage complex tasks. Role Description This is a full-time, on-site Product Specialist role based in San Francisco, CA. The Product Specialist will be responsible for collaborating with client hotels, internal product teams, and building relationships with hotels around the world helping to implement Lance's AI solutions Qualifications - Work 996 In-Person San Francisco - Background in Consulting and problem-solving to address client requirements - Strong communication skills in Sales and Customer success - Excellent troubleshooting and customer engagement skills - Familiarity with hospitality industry software and AI technologies is a plus - Bachelor's degree in Hotel Management, Computer Science, or Business is a plus Total Compensation $80,000 - $130,000 Cash + Equity + Bonus Monthly Health and Wellness Stipend Complimentary In Office Meals

Product Manager San Francisco | OnSite Company Description Lance (YC W26) develops autonomous AI agents that handle calls, close sales, and manage operations, enabling your team to focus on providing excellent guest experiences. Trusted by leading hotel groups across the U.S., Lance supports 50+ hotels with brands like Marriott, Hilton, and Hyatt. Using advanced Computer Use Agent technology, Lance agents integrate seamlessly with existing hotel software to make real-time decisions and efficiently manage complex tasks. Role Description This is a full-time, on-site position based in San Francisco, CA, for a Product Manager at Lance. The Product Manager will oversee the roadmap and lifecycle of assigned products, collaborating with cross-functional teams to define requirements, prioritize features, and deliver innovative solutions. Responsibilities include conducting market research, gathering customer feedback, managing development cycles, and evaluating product performance. The role demands proactive leadership, effective communication, and a commitment to delivering exceptional tools that drive client success. Qualifications - Work 996 In Person San Francisco - Product Management skills, including roadmapping, backlog prioritization, and product lifecycle management - Market Research and User Research skills to understand customer needs and industry trends - Strong Communication and Collaboration abilities to work effectively with engineering, design, and business teams - Analytical Thinking and Problem-Solving skills to identify opportunities for improvement and create efficient solutions - Experience in SaaS, AI technology, or hospitality software is a plus - Bachelor's degree in Business, Computer Science, Engineering, or a related field - Strong organizational and time management skills with the ability

Solutions Engineer San Francisco | OnSite Company Description Lance (YC W26) develops autonomous AI agents that handle calls, close sales, and manage operations, enabling your team to focus on providing excellent guest experiences. Trusted by leading hotel groups across the U.S., Lance supports 50+ hotels with brands like Marriott, Hilton, and Hyatt. Using advanced Computer Use Agent technology, Lance agents integrate seamlessly with existing hotel software to make real-time decisions and efficiently manage complex tasks. Role Description This is a full-time, on-site Solutions Engineer role based in San Francisco, CA. The Solutions Engineer will be responsible for collaborating with client hotels, internal product teams, and building relationships with hotels around the world helping to implement Lance's AI solutions Qualifications - Work 996 In-Person San Francisco - Background in Consulting and problem-solving to address client requirements - Strong communication skills in Sales and Customer success - Excellent troubleshooting and customer engagement skills - Familiarity with hospitality industry software and AI technologies is a plus - Bachelor's degree in Hotel Management, Computer Science, or Business is a plus Total Compensation $90,000 - $140,000 Cash + Equity + Bonus Monthly Health and Wellness Stipend Complimentary In Office Meals

Account Executive San Francisco | OnSite About Lance Lance (YC W26) builds autonomous AI agents that run hotel operations end-to-end, from answering guest calls to managing workflows across systems. We work with leading hotel groups across brands like Marriott, Hilton, and Hyatt, and are already deployed across 50+ properties in the U.S. Our agents don't just assist, they execute. They integrate directly into existing hotel systems, make real-time decisions, and handle complex, multi-step operations. Role Overview We're hiring our Founding Account Executive to build and own our sales function from the ground up. You will be responsible for driving our early revenue growth, closing deals with leading hotel groups, and creating the playbook that will define our sales motion for years to come. This is a high-intensity, execution-driven role for a hungry, entrepreneurial sales professional who wants to build a revenue machine, not just run a territory. What You'll Do - Manage the full sales cycle from initial lead qualification to contract negotiation and close. - Engage with a high volume of warm inbound leads from our waitlist while developing and executing outbound strategies to target key accounts. - Conduct discovery calls and product demos to articulate the value of Lance's platform to hotel executives, from GMs to corporate leadership. - Partner closely with the CEO on go-to-market strategy, pricing, and messaging. - Collaborate with the Solution Engineering team to ensure a seamless pre-sales and technical evaluation process. - Refine our sales process, tools, and reporting to build a scalable

Founding Product Designer (UI/UX) San Francisco | OnSite About Lance Lance (YC W26) builds autonomous AI agents that run hotel operations end-to-end, from answering guest calls to managing workflows across systems. We work with leading hotel groups across brands like Marriott, Hilton, and Hyatt, and are already deployed across 50+ properties in the U.S. Our agents don't just assist, they execute. They integrate directly into existing hotel systems, make real-time decisions, and handle complex, multi-step operations. Role Overview We're hiring our Founding Product Designer to own the end-to-end user experience of our AI agents and the platforms our customers use to interact with them. You will be responsible for establishing Lance's design language from the ground up, translating complex AI workflows into intuitive, elegant interfaces. This is a high-ownership role for a product-minded designer who wants to define the look, feel, and function of a category-defining product. What You'll Do - Own the entire design process, from concept and wireframing to high-fidelity mockups and interactive prototypes. - Translate complex user needs and product requirements into beautiful, intuitive, and functional user interfaces. - Work directly with the founders, product managers, and engineers to define both the long-term design vision and the short-term tactical execution. - Establish and own Lance's design system, ensuring a consistent and high-quality user experience across all platforms. - Conduct user research and usability testing to validate design decisions and advocate for the user. - Collaborate closely with engineering to bridge the gap between design and front-end implementation,

Public Affairs Specialist Washington, District of Columbia Summary This vacancy is for a GS-1035-13, Public Affairs Specialist, located in the Directorate of Governmental and Public Affairs, Office of Public Affairs, Media Relations Division, Washington, DC. Duties You will serve as a Public Affairs Specialists and be responsible for planning and implementing national media campaigns to convey information to the public on a variety of programs, policies, and activities. Additionally, you will be responsible for coordinating responses to media inquiries, interview requests, monitoring and reporting on the media environment, assisting with contingency operations, and coordinating with Inter-agency Public Affairs offices, Headquarters staff, and Regional and District offices.. Being a Coast Guard (CG) civilian makes you a valuable member of the CG team. Typical work assignments include: Establishes and maintains effective working relationships with members of the national and international media such as major news services, radio and television network news personnel, representatives of major newspapers, free-lance authors, book and magazine editors and publishers, maritime and military publications, the maritime trade press, and podcasts as appropriate, to ensure accurate reporting of CG policy, programs, and missions.. Prepares and maintains media contact lists and arranges for mass dissemination of information materials; developing basic written information materials such as news releases, feature articles, backgrounders, Public Affairs Guidance, talking points, fact sheets, and response to queries.. Conducts complex and exhaustive research into all CG programs and controversial issues and provides comprehensive data to media representatives so that they may report on all aspects of CG

Software Engineer, Distributed Data Systems San Francisco, California | OnSite Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised $350m from Lightspeed, Benchmark, and a16z. Our ultimate goal is to build perfect search over all the world's information, far beyond Google. If you want to build massive-scale ML systems that will define the way the new AI world consumes information, this is the place for you. As a Data Engineer, you'll architect and build the data infrastructure that powers everything we do-from crawling billions of pages to training our embedding models to serving real-time search. You'll have enormous autonomy in designing systems that scale to hundreds of petabytes. If you've ever wanted to build data pipelines at a scale that most companies only dream about, this is your chance. WHO YOU ARE - Deep understanding of lakehouse architectures (Delta Lake, Iceberg, Hudi) and when to use them - Experience building and operating large-scale distributed data processing pipelines - Hands-on experience with streaming data systems (Kafka, Flink, or similar) - Familiarity with Ray, Spark, or ClickHouse at production scale - An obsessive focus on reliability and building systems that don't page you at 3am BONUS - Experience with Lance or other vector-native