Business Intelligence Manager in San Francisco

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role HP IQ is looking for a highly organized, detail-oriented Executive Business Partner to support to our SVP, Design & Innovation while also providing operational support to the Design team. In this role, you will act as a strategic partner to SVP of Design & Innovation by managing priorities, anticipating needs, and executing with precision, while also keeping all operational processes for the Design Team running smoothly. This role collaborates closely with the Chief of Staff and builds strong relationships to communicate and work effectively across the organization. Our ideal candidate is someone who is excited to make things happen, has a fastidious attention to detail, thrives in bringing structure to fast-paced environments, enjoys being part of a team and is genuinely motivated by this work. What You Might Do Manage complex calendars, scheduling, and prioritization for HP IQ’s SVP, Design & Innovation; independently prioritize and make decisions to resolve scheduling conflicts Prepare expense reports, route vendor invoices and purchase orders for approval,

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About the Role We are seeking an experienced IT Engineer to own and enhance the technology experience within HP IQ. This role combines traditional IT operations, SaaS administration, endpoint management, and infrastructure support with a strong focus on automation, scalability, and employee experience. The ideal candidate is a hands-on problem solver who thrives in fast-paced startup environments, takes ownership of systems and processes, and proactively identifies opportunities to improve tooling, security, and operational efficiency. You will serve as a technical escalation point for the IT Support team while helping shape the future of our internal technology stack. What you might do Manage and administer core business platforms including Google Workspace, Microsoft 365, Okta, Slack, and other SaaS applications. Ensure employees have a seamless and productive technology experience across all systems and devices. Evaluate, implement, and optimize tools and workflows that improve employee productivity and reduce operational friction. Develop and maintain IT documentation, standards, processes, and

Overview Scale’s Finance Systems and Automation team is looking for a builder-oriented team member to help design and develop integrations, automations, and AI agents that streamline workflows across Finance, Accounting, People, and Recruiting. In this role, you will work closely with stakeholders across Finance, Accounting, People Operations, and Recruiting to understand their workflows and build integrations, automations, and agentic workflows that reduce manual effort and accelerate execution across these teams. You will leverage our internal data infrastructure, system integration tooling, and emerging AI platforms to architect scalable solutions — from traditional system integrations to intelligent agent-driven workflows — that serve as the foundation for long-term operational efficiency. We’re looking for someone who thrives on connecting systems, automating repetitive processes, and pushing toward more autonomous, AI-assisted operations. You should be comfortable navigating ambiguity, designing solutions that scale, and rigorously validating outcomes end to end. What You’ll Do Design and build agent-driven workflows and automation systems across People Operations, Recruiting, Finance, and Accounting Identify opportunities to replace manual or rules-based processes with agentic workflows Partner with stakeholders to translate business processes into scalable, automated solutions Lead the implementation of end-to-end workflows, from requirements through deployment and validation Automate candidate-to-employee transitions (e.g., Greenhouse → HRIS → provisioning systems) Build workflows to manage employee lifecycle events such as onboarding, transfers, and offboarding Automate approval flows and data synchronization across People, Finance, and Recruiting systems Support accounting and finance workflows through scalable integrations and automation Design and implement the underlying integrations and data flows that enable reliable automation and agent behavior Est

About the Role Sigma Computing is redefining business intelligence by making complex data analysis accessible through a high-performance platform built for the modern data stack. The Compiler Team plays a foundational role in this mission by transforming user-driven spreadsheet interactions into highly optimized SQL queries, enabling seamless exploratory analytics on cloud data warehouses. As a member of the Compiler Team, you will join a group of engineers dedicated to building the core systems and abstractions that power Sigma’s intuitive spreadsheet interface, ensuring speed, reliability, and scalability for all users. What You Will Be Doing Tackle core challenges at the intersection of data modeling, query compilation, and large-scale interactive analytics—making it possible for end-users to query data warehouses efficiently without deep technical knowledge Design, build, and maintain sophisticated compiler infrastructure and intermediate representations that translate spreadsheet operations into optimized query plans Apply advanced optimization strategies to improve performance and accuracy across a wide range of query workloads and data architectures Contribute to both backend (Rust) and key frontend foundations (TypeScript), evolving critical abstractions that enable end-to-end workflow optimizations and new features Debug, analyze, and resolve complex issues, ensuring robustness and maintainability in a rapidly evolving product Collaborate with engineers and product stakeholders to review designs and code, driving technical best practices and architectural decisions throughout the team and company Qualifications We Need 5+ years experience engineering high-quality software systems Demonstrated success building and maintaining complex infrastructure or core platform services Deep understanding of Computer Science fundamentals, particularly in compilers, algorithms, SQL Optimization Passion for teamwork, technical ownership, and continually

About This Role This is not your average Account Executive role. At Sigma, we believe that people are our most valuable resource, and so we relentlessly invest in our team. Account Executives are set up to thrive while generating meaningful pipeline, winning new customers, and directly contributing to the success of our organization. Working with Sigma gives you the opportunity to get in on the ground floor of a high-growth startup. Our Account Executives are crucial for growing our customer base and our company, making this one of Sigma’s most critical roles. This role is based in San Francisco and will not be remote. Who You Are: A go-getter who is hungry for personal growth and career advancement Someone who understands the power and value of data in driving innovation and business initiatives Someone who is principled, honest, humble, and hard-working What You Care About: Learning from leaders who are dedicated to your success Working in a role you genuinely love with people you enjoy being around Making an impact in the fast-paced world of data Growing your leadership skills for a long and rewarding career You’ll Contribute By: Maintaining, creating, and updating accurate customer, pipeline, and forecast information in Salesforce Using knowledge of the data and analytics space to interact with a diverse set of businesses in consultative sales Owning your sales process — from first call to demo to proposal to proof of concept to contract Working alongside a team of motivated reps on a high-functioning, energetic team Bringing on new customers and developing advocates for Sigma in the business intelligence market Engaging with partners in the data ecosystem to build pipeline or support specific customer needs and initiatives Generating new revenue for a rapidly growing company Your Qualifications: Ideally 2+ years of experience closing deals Experience in the data space (Warehouses, Pipelines, Analytics, etc.) is prefe

About This Role This is not your average Account Executive role. At Sigma, we believe that people are our most valuable resource, and so we relentlessly invest in our team. Account Executives are set up to thrive while generating meaningful pipeline, winning new customers, and directly contributing to the success of our organization. Working with Sigma gives you the opportunity to get in on the ground floor of a high-growth startup. Our Account Executives are crucial for growing our customer base and our company, making this one of Sigma’s most critical roles. Who You Are: A go-getter who is hungry for personal growth and career advancement Someone who understands the power and value of data in driving innovation and business initiatives Someone who is principled, honest, humble, and hard-working What You Care About: Learning from leaders who are dedicated to your success Working in a role you genuinely love with people you enjoy being around Making an impact in the fast-paced world of data Growing your leadership skills for a long and rewarding career You’ll Contribute By: Maintaining, creating, and updating accurate customer, pipeline, and forecast information in Salesforce Using knowledge of the data and analytics space to interact with a diverse set of businesses in consultative sales Owning your sales process — from first call to demo to proposal to proof of concept to contract Working alongside a team of motivated reps on a high-functioning, energetic team Bringing on new customers and developing advocates for Sigma in the business intelligence market Engaging with partners in the data ecosystem to build pipeline or support specific customer needs and initiatives Generating new revenue for a rapidly growing company Your Qualifications: Ideally two or more years of experience closing deals Experience in the data analytics or BI space (Looker, Tableau, Domo, etc.) is preferred Background in high-tech software sales is

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The New York Times is looking for a talented, experienced and versatile correspondent to join the tech pod on the Business desk to cover OpenAI and Anthropic as the artificial intelligence race heats up. At the core of the beat are two companies that are writing people’s futures with their fast-advancing technology and becoming the new power brokers in Silicon Valley, dealmaking, geopolitics, national security, economics and Wall Street. We are looking for an energetic, determined and collegial journalist who thrives when competing on the most compelling and important storylines. Proven success in building and cultivating sources and experience reporting on companies are prerequisites. You will work closely with other tech reporters in the United States and around the world. This is a high metabolism job, with breaking news, second-day stories, analysis, explainers, profiles, accountability stories and enterprise. You will collaborate across multiple desks and teams including finance, Audio, Video and Graphics. You will write articles, short Live updates, contribute to newsletters and videos and participate in collaborative reporting projects. This is an in-office position, based in San Francisco and includes regular attendance in the office four days each week. There may be some flexibility to work remotely per your departmental guidance. Responsibilities : You will generate original reporting on news, events and trends on Anthropic a

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The New York Times is looking for a talented, experienced and versatile correspondent to join the tech pod on the Business desk to cover Anthropic as the artificial intelligence race heats up. Anthropic has grown quickly and changed coding, security and other areas with its technology, becoming a new power broker as it heads toward a public offering, and tangling in geopolitics, national security, economics and religion. We are looking for an energetic, determined and collegial journalist who thrives when competing on the most compelling and important storylines. Proven success in building and cultivating sources and experience reporting on companies are prerequisites. You will work closely with other tech reporters in the United States and around the world. This is a high metabolism job, with breaking news, second-day stories, analysis, explainers, profiles, accountability stories and enterprise. You will collaborate across multiple desks and teams including finance, Audio, Video and Graphics. You will write articles, short Live updates, contribute to newsletters and videos and participate in collaborative reporting projects. This is an in-office position, based in San Francisco and includes regular attendance in the office four days each week. There may be some flexibility to work remotely per your departmental guidance. This role is represented by the NewsGuild of NY. Responsibilities: You will generate original reporting on

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The AI team is focused on one of Stripe’s most strategic growth areas: enabling the monetization and scaling of AI-native and AI-enabled businesses. We’re in a unique position – partnering with the world’s most ambitious AI companies (the likes of OpenAI, Anthropic, NVIDIA, etc) building on the frontier of artificial intelligence -- across infrastructure, foundation models, agents, and applications -- to help them grow and commercialize globally using Stripe’s full financial stack. As part of Stripe’s GTM / Sales organization, this team works closely with Product, Engineering, and Marketing to shape Stripe’s AI GTM strategy and ensure that the world’s leading AI companies -- from early-stage innovators to the largest public players -- choose Stripe as their monetization platform. What you’ll do Work with existing Stripe customers in the AI Industry to develop and execute long-term sales strategies to expand Stripe’s revenue Own the full sales cycle, from business case development, to deal structuring and negotiating, to close Develop account plans and cross sell into your list of strategic AI customers, driving growth through expansion and new revenue streams Drive deal strategy and commercial negotiations for large, complex renewals Develop relationships with executive stakeholders within your book of business, deeply understanding problems they are solving and helping drive to solutions Be responsible for account mapping and coor

We believe communication belongs to everyone. We exist to democratize phone service. TextNow is evolving the way the world connects, and that's because we're made up of people with curious minds who bring an optimistic yet critical lens into the work we do. We're the largest provider of free phone service in the nation. And we're just getting started. Join us in our mission to break down barriers to communication and free the flow of conversation for people everywhere. TextNow is looking for an experienced Data Developer with hands-on experience designing and developing data platforms. You will own the design, development, and maintenance of TextNow's data platform, enabling us to make effective data-informed decisions. You will be part of cross-functional efforts to build scalable and reliable frameworks that support allTextNow's business and data products. In this role, you can interact with different functional areas within the business and influence decision-making in a fast-growing mobile communications start-up. This role is about impact at scale. You’ll shape how TextNow builds and operates its systems in an AI-first environment where intelligent tooling is embedded into everyday engineering practice. Using AI is not optional, it’s expected. From design and architecture to implementation, testing, debugging, documentation, and operational analysis, you will actively leverage AI tools to increase velocity, improve code quality, and make better technical decisions. We provide a robust suite of AI-powered development tools and workflows to support you, and we expect you to continuously evolve how you use them to raise the bar for efficiency, clarity, and product excellence across the organization. What You'll Do Own TextNow's data warehouse, data pipelines, and integration points between various business systems. Design, develo

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The AI team is focused on one of Stripe’s most strategic growth areas: enabling the monetization and scaling of AI-native and AI-enabled businesses. We’re in a unique position – partnering with the world’s most ambitious AI companies (the likes of OpenAI, Anthropic, NVIDIA, etc) building on the frontier of artificial intelligence -- across infrastructure, foundation models, agents, and applications -- to help them grow and commercialize globally using Stripe’s full financial stack. As part of Stripe’s GTM / Sales organization, this team works closely with Product, Engineering, and Marketing to shape Stripe’s AI GTM strategy and ensure that the world’s leading AI companies -- from early-stage innovators to the largest public players -- choose Stripe as their monetization platform. What you’ll do Work with existing Stripe customers in the AI Industry to develop and execute long-term sales strategies to expand Stripe’s revenue Own the full sales cycle, from business case development, to deal structuring and negotiating, to close Develop account plans and cross sell into your list of strategic AI customers, driving growth through expansion and new revenue streams Drive deal strategy and commercial negotiations for large, complex renewals Develop relationships with executive stakeholders within your book of business, deeply understanding problems they are solving and helping drive to solutions Be responsible for account mapping and coordinating ef

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media and telecommunications to build production AI agents that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. The Opportunity Applied AI is moving faster than ever. New foundation models, reasoning techniques, agent architectures, and research papers emerge every week. Yet building AI systems that reliably solve real-world problems remains one of the hardest engineering challenges. As a Frontier Agent Engineer (Applied AI) , you'll bridge the gap between cutting-edge AI research and production deployment. You'll work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles that focus on a single model or product, you'll work across a diverse portfolio of AI challenges spanning multiple industries and use cases. You may build a multi-agent research system and then participate in designing a customer intelligence platform, a healthcare copilot, or an autonomous workflow for a Fortune 100 company. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, you'll fit right in. What You'll Build Frontier AI Systems Design and deploy production AI agents that leverage the latest advances in large language models, reasoning, retrieval, memory, and tool use. Architect intelligent systems that combine LLMs, traditional machine learning, structured knowledge, enterprise data

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media and telecommunications to build production AI agents that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. The Opportunity Applied AI is moving faster than ever. New foundation models, reasoning techniques, agent architectures, and research papers emerge every week. Yet building AI systems that reliably solve real-world problems remains one of the hardest engineering challenges. As a Senior Frontier Agent Engineer (Applied AI) , you'll bridge the gap between cutting-edge AI research and production deployment. You'll work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles that focus on a single model or product, you'll work across a diverse portfolio of AI challenges spanning multiple industries and use cases. You may build a multi-agent research system and then participate in designing a customer intelligence platform, a healthcare copilot, or an autonomous workflow for a Fortune 100 company. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, you'll fit right in. What You'll Build Frontier AI Systems Design and deploy production AI agents that leverage the latest advances in large language models, reasoning, retrieval, memory, and tool use. Architect intelligent systems that combine LLMs, traditional machine learning, structured knowledge, enterpri

About Scale AI At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI) and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most critical work for how humanity will interact with AI. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies. Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world’s leading AI companies and government agencies to solve their most complex AI data-related problems. Responsibilities: Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. Our Approach As part of the interview process, you’ll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale’s AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale. Responsibilities: Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal Collaborate closely with internal operators (your use