Enterprise Solutions Consultant in San Francisco

Location - Hybrid This is a hybrid role based out of our San Francisco, Corporate Headquarter office, 3 days in the office, 2 days remote OR one of our Hub locations, Boston, MA or Raleigh, NC, which means you may be expected to work from a designated co-working space from time to time, and will otherwise work remotely from home, until such time as a dedicated office is established. About Us Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at http://saucelabs.com . Release Assurance at the Speed of AI | Meet the new Sauce Labs The Role: As the Head of Product Marketing (Director Level), you will be a strategic leader responsible for defining and executing the comprehensive product vision for Sauce Labs. You will own the overall product marketing strategy, guiding a high-performing team to drive leadership, accelerate product adoption, and significantly impact revenue growth. This role requires a blend of strategic thinking, hands-on leadership, and a deep understanding of the continuous testing and software development lifecycle market. You will serve as a key bridge between product development, sales, and broader marketing functions, ensuring our market narrative is compelling, differentiated, and aligned with business objectives. Responsibilities: Strategic Leadership & Vision: Define and articulate the overarching product marketing strategy that aligns with company goals and market opportunities. Drive the narrative, positioning, and messagi

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role: As a Technical Program Manager within the Enterprise Data Governance team, you will drive strategic execution across our core data governance processes. Your primary focus is to protect member privacy safeguarding personal information through secure handling, processing, and storage to ensure trust, enforce compliance, and mitigate data exposure risks. You will bridge the gap between corporate data governance policy and operational engineering, leading high-visibility technical programs that secure, classify, and institutionalize data controls across key data platforms. As a leader, you will partner with engineering, the CIO organization, Legal, Privacy Compliance, and broader stakeholders to shield enterprise data frameworks while accelerating feature delivery. What you’ll do: Own the end-to-end strategy, roadmap, and execution of complex, multi-platform data privacy and data protection initiatives, driving the Privacy Rights Management (PRM) program as a primary priority. Partner with engineering and platform teams to translate abstract data governance and privacy policies into actionable technical execution. Own the requirements lifecycle by authoring comprehensive PRDs, defining functional data controls, and ensuring engineering teams have the clear technical specifications needed

Location: San Francisco, CA (Remote/Hybrid Available) What is Verse? The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy—it's about unlocking the future of AI. At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy. The Role As a Software Engineer focusing on Distributed Systems at Verse, you will work in collaboration with some of the brightest industry experts in the field building cloud-native applications that scale to trillions of data points collected from electricity markets globally. You will be a part of a dynamic, robust team primarily supporting the backend needs of our Aria software product spanning hundreds of data sources, sinks, services, and jobs. Your expertise will not only have a direct impact on product decisions, but you also be well-positioned to drive the development and trajectory of our entire platform and infrastructure and influence important architectural decisions that affect the whole organization. Key Responsibilities Foster a culture and mindset of well-designed systems, test-driven software, and transparent communication with a high caliber of mutual respect and consideration for stakeholders Read and write a lot of Go, Python, and Protobuf Build, test, debug, maint

Location: San Francisco, CA (Remote/Hybrid Available) What is Verse? The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy—it's about unlocking the future of AI. At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy. The Role You will be a member of the technical staff developing product experiences for our Dispatch Intelligence users – customers who want and have battery energy storage systems for additional energy cost savings or faster interconnection times. In this role, you will serve in a “full stack” capacity designing, building, and maintaining frontend and backend components of our energy storage suite of applications. We use Typescript, React, Next.js, Tailwind CSS, Radix/ShadCN, Jest, Cypress, Playwright, Vitest, and Storybook with Echarts and D3/Observable for data visualization for our frontend, and Cloudflare Pages for hosting and content delivery. We rely on identity and auth platforms like Clerk for sign-in flows. Our backend is written in Go and Python with Postgres/AlloyDB and blob storage for data persistence. Key Responsibilities Foster a culture and mindset of well-designed systems, test-driven software, and proactive communication with a high degree of transparency, mutual resp

Location: San Francisco, CA (hybrid) What is Verse? The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy—it's about unlocking the future of AI. At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy. The Role We're looking for a highly analytical Senior Business Operations Analyst to support the growth and execution of our Dispatch Intelligence product. This role sits at the intersection of business operations, customer, product, engineering, and data science and has two core areas of responsibility. First, you will help drive overall program execution for Dispatch Intelligence: bringing structure to complex cross-functional initiatives, improving processes, tracking progress, and ensuring teams stay aligned on priorities and timelines. Second, you will help build and operate the processes through which flexible energy assets are onboarded onto the Verse platform and continuously improve their operational performance. The ideal candidate combines strong analytical problem-solving with exceptional project management and is comfortable working across both technical and commercial teams. You will play a critical role in helping Verse scale Dispatch Intelligence from individual projects and assets

About the role The world is moving fast — and AI is moving faster. As a Product Marketing Manager focused on AI at Sigma, you'll be at the tip of the spear, helping define how we tell the story of one of the most exciting areas of the product. This role is as much about clarity as it is about creativity: you'll take complex, fast-evolving AI capabilities and distill them into the market messages, sales narratives, and customer stories that make people say "I get it — and I want it." We're looking for someone with genuine intellectual curiosity about AI, a bias for action, and exceptional instincts for what makes a message land. If you can absorb a lot of information quickly, find the signal in the noise, and write messaging that moves people — this role is for you. What you'll do Develop and refine positioning and messaging for Sigma's AI features, working closely with the Director of Product Marketing, AI and the Product team. Create sales enablement content — one-pagers, battlecards, demo guides, and objection handlers — that help the field confidently sell Sigma's AI capabilities. Support product launches for AI features: coordinate across product, design, marketing, and sales to bring new capabilities to market clearly and effectively. Research competitors' AI positioning and identify opportunities to sharpen Sigma's differentiation. Write and contribute to thought leadership content, blog posts, and customer-facing collateral that educate the market on Sigma's AI vision. Gather and synthesize customer and prospect insights — from win/loss data, customer interviews, and sales calls — to continuously improve messaging. Partner with demand generation and content teams to ensure AI messaging is consistently represented across campaigns, website, and events. What we're looking for 3+ years of product marketing experience in B2B enterprise software and/or cloud data platforms. The ability to learn quickly and deeply — you can get up to speed on a new te

AI only answers correctly when it can trust the data underneath it. This role owns two connected parts of how Sigma shows up in that world: where Sigma's experience lives outside its own product (MCP, a CLI, the Claude and ChatGPT marketplaces, integrations like Slack, Teams, and Glean), and the semantic layer that makes every one of those surfaces trustworthy. The first mandate is Sigma's AI ecosystem: defining Sigma's approach to MCP, giving external agents structured, governed access to Sigma's data model; owning the CLI, giving developers a fast way to work with Sigma outside the UI; and building Sigma's presence in the Claude and ChatGPT marketplaces, plus integrations for Slack, Teams, Glean, and similar surfaces, so people can reach Sigma's data wherever they already work. This is some of the most visible, fastest-growing surface area in the product. The second mandate is the semantic layer underneath it all. Every agent, chat answer, and integration is only as reliable as the data model behind it — get a metric definition wrong here, and every surface built on top inherits the mistake. This includes setting the roadmap for how semantic views connect across data platforms and how the model evolves as new AI capabilities emerge. What you'll do Define Sigma's approach to MCP, giving external agents and tools structured, governed access to Sigma's data model. Own the CLI roadmap, giving developers a fast, scriptable way to work with Sigma outside the UI. Build Sigma's presence in the Claude and ChatGPT marketplaces, along with integrations for Slack, Teams, Glean, and similar surfaces, so people can reach Sigma's data wherever they're already working. Set the roadmap for Sigma's data modeling strategy, including how semantic views connect across data platforms and how the semantic layer evolves as new AI capabilities emerge. Partner with engineering and design to ship integration and semantic modeling capabilities that hold up at enterprise scale.

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable’s mission is to bring the power of computing and software development to everyone. We are developing a powerful and extensible toolkit that our customers can leverage to solve a variety of different problems and workflows. We’ve seen our most sophisticated customers use the product to run global processes across thousands of employees, coordinate precision manufacturing pipelines, and consolidate previously siloed mission-critical data into a single source of truth. The complexity of these use cases requires us to be extremely thoughtful about how we design and implement new functionality in the product and make sure it’s both easy to use and comprehend for our customers and maintainable for us. As a Full-Stack, Backend engineer at Airtable, you will have the opportunity to work with customers to deeply understand their needs and workflows. You will collaborate with cross-functional partners across product management, design, research and data science to create innovative new features that enable our customers to do their best work. You will be responsible for owning and executing the end-to-end implementation of these new features that will contribute to making our toolkit even more powerful and successful. We currently have openings on: The Admin & Governance Team (Full-Stack/BE) ensures Airtable is secure, compliant, and enterprise-ready. It owns key admin capabilities like the Admin Panel, SSO, and audit systems, as well as foundational features like User Groups. This team's mission is to accelerate organizational value for the largest customers with enterprise-first governance and controls. The Omni Capability & Quality Team (Full-Stack/BE) brings the power of AI directly to Airtable end users—

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Scale's internship is not a side project. Interns own real, shipped work on the same roadmaps as full-time engineers, with mentorship from world-class talent and a culture that values ownership, speed, and truth-seeking. Many of our interns return as full-time Scaliens. Example Projects Build reinforcement learning and post-training data pipelines that power frontier model development Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy Ship tools that accelerate the growth of new qualified contributors on Scale's platform Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing billions of complex tasks Develop new AI infrastructure products to visualize, query, and explore Scale data Requirements A graduation date in Fall 2027 or Spring 2028 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) Available for a Summer 2027 internship (May/June start dates) in San Franci

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

About the Team Our sales and partner management teams are the heart and soul of DoorDash, enabling us to sign and partner with top restaurants across the country to drive revenue and help our partners operate and grow their businesses. As DoorDash grows both in scale and breadth of offering, the strength of our sales engine and organizational structure must grow with it. About the Role As Associate Manager, Sales Planning and Strategy at DoorDash, you will play a pivotal role in executing against top company business objectives and help define our sales strategy and planning roadmap. Your responsibilities will range from strategic (designing quotas and incentives aligned to the company's goals and strategy, integrating new products into sales GTM strategy and building consensus among sales leadership) to operational (forecasting, designing compensation plans, driving plan implementation and ensuring key metrics can be communicated, tracked and commissions calculated). You will serve as a strategic thought partner to Sales leadership while driving operational discipline across the organization. You will own cross-functional programs end-to-end, ensuring alignment across Sales, Product, Finance, Analytics, and Sales Operations to achieve business goals while proactively building partnerships, promoting open dialogue and creative insights expertise to issues in real time. This role specifically supports our CAN SMB Presales or Enterprise Ads & Promos Sales organization spanning multiple sales motions and role types. You will be the primary planning and strategy partner for the sales organization supported, where quota attainment, goaling accuracy and consistency, and seller productivity are the north stars. This role will report into a Sales Planning and Strategy manager. You’re excited about this opportunity because you will be driving… Strategic Leadership : Become the subject matter expert on sales data, sales incentives, while also gaining a comprehensiv

About the Team At DoorDash, design means making experiences for the people who order, the people who prepare, and the people who deliver. As a Designer at DoorDash, you want to build things that matter to real people. You're at your best when you can move from idea to shipped product quickly, bringing experiences to life that reach and influence users at massive scale. You'll care about whether the product you make solved a real problem for real people, or changed how someone experiences their day. About the Role At DoorDash, we’re redefining what it means to be a designer. We’re building a team of makers, builders, and doers. Over the past decade, “web designer” evolved into “product designer” as the scope expanded. Now, that shift is happening again — LLMs are broadening the role further, pushing design toward both strategic thinking and direct execution. As a Staff Product Designer, you’ll help lead this evolution: not only practicing build-first design, but scaling it across people, processes, and systems. In this role, you’ll join the Ads & Promos Design team — one of DoorDash’s fastest-growing businesses — owning end-to-end campaign experience design and shaping the strategic vision for our marketing tooling system. This platform powers both SMB and enterprise restaurants across DoorDash’s global markets and connects local businesses with over 40 million consumers globally. Your impact will span both team effectiveness and business growth. You’ll increase team velocity and autonomy by building reusable workflows, shared tools, and decision frameworks that enable designers to operate at a higher level with less coordination overhead. In parallel, you’ll drive measurable business outcomes by unlocking faster experimentation, shorter iteration cycles, and higher-quality execution across your team and adjacent teams. This role can be based in New York City, San Francisco, or Seattle and reports to the Design Manager for Ads & Promotions (Restaurant Experie

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Team Twitch's Enterprise Platform & Technology (EPT) organization is looking for a Software Development Engineer II to build the systems where SAP meets AWS — extending our enterprise ERP with cloud-native services and agentic AI to power Finance and enterprise functions across Twitch and Amazon. This is a hands-on engineering role where you'll work on SAP-side development (ABAP, CDS, RAP, OData) and AWS-native engineering (Lambda, Step Functions, MCP servers, Bedrock, CDK) — owning integrations end-to-end. About the Role You'll work at the intersection of SAP enterprise systems and modern cloud engineering — building AWS-hosted APIs and pipelines that talk to SAP, standing up agentic AI tooling (MCP servers, Bedrock agents, Claude-powered workflows) that automates Finance operations, and shipping production AWS services alongside SAP customizations. The business problems are well understood; how you solve them with SAP + AWS + AI is up to you. We need someone equally comfortable writing ABAP inside SAP GUI and Python/TypeScript infrastructure code against AWS — a full-stack enterprise engineer who ships across both worlds and raises the bar on automation. You Will SAP Engineering (~50%) Design, build, and maintain integrations between SAP (S/4HANA, BTP) and downstream systems — own

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: SoFi's Associate AI Engineer, Finance Transformation is a hands-on builder within SoFi's Finance organization, focused on building agentic AI workflows that transform how Finance works from close and reconciliations to forecasting and reporting. Finance has one of the largest AI opportunity surfaces at SoFi: over a hundred identified use cases, an active champions network, and executive sponsorship. In this role you will build multi-step AI workflows on approved enterprise AI platforms, stand up the telemetry that measures AI usage, cost, and ROI across Finance, and help make AI outputs trustworthy enough for Finance decision-making in a controlled environment where outputs must be explainable, auditable, and reconciled to the number. You will work directly with the AI Transformation Manager for Finance, who owns use-case strategy and stakeholder engagement, and in close partnership with SoFi's AI SDLC and platform teams, who support the path from prototype to production. This is a build-focused role with an unusual growth surface: SoFi's AI Engineering ladder (through Staff and Senior Staff) is the visible progression path. What you’ll do: Build agentic AI workflows: Develop multi-step AI workflows such as planning, tool use, retrieval, structured orchestration on approved enterprise AI pla