Enterprise Solutions Consultant in San Francisco

About the role AI and coding agents have made building enterprise apps nearly effortless and exposed a massive gap in the infrastructure to run them. Sigma is emerging as the AI Runtime Environment that makes enterprise AI actually work, and this role will tell that story to the market, why it matters, and help define and create this new category. As Director of Product Marketing for AI, you will own the positioning and go-to-market strategy for Sigma's overall AI narrative and its specific capabilities, including: natural language exploration, agentic workflows, and AI-powered application building (both internal and using external coding agents). This is a high-visibility, high-impact role that sits at the intersection of product, sales, and the market. You'll translate a rapidly evolving AI roadmap into sharp, differentiated messaging that resonates with data teams, business leaders, and the enterprise IT buyers who evaluate and approve AI investments. You will be a key voice in helping Sigma win the category. What you'll do Define and own Sigma's AI product positioning and messaging from core value propositions to competitive differentiation and persona-specific narratives. Partner with Product and Engineering to understand and influence Sigma's AI capabilities and roadmap. Lead product launches for AI features and capabilities, coordinating across marketing, sales, customer success, and partnerships. Partner with sales leadership and frontline reps to understand AI deal dynamics, competitive objections, and messaging gaps and incorporate learnings into improved positioning, content, and enablement. Partner with the Enablement team, build and maintain sales enablement materials pitch decks, battlecards, demos, objection-handling guides that help the field win competitive AI deals. Develop thought leadership content and market education programs that shape how the industry thinks about building with AI on enterprise data. Conduct ongoing

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions. The next frontier for AI is the physical world. We're looking for an AI Product Manager to own the Robotics vertical within our Physical AI team. In this role, you'll own both the development of the data and training environments (the teleoperated demonstrations, real-world collections, simulated tasks, and annotation products that labs use to train and evaluate robot policies) and the "data as a product" strategy that powers them. You'll understand where physical AI is headed, decide what robot tasks and embodiments are worth collecting, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product. The ideal candidate has lived inside robotics or physical AI research, and is able to pair that domain understanding with a sense for where current robot policies succeed and fail in real-world workflows. You'll translate that expertise into datasets, environments, and evaluation frameworks that teach robots to do real physical work, and you'll be the domain expert Scale's most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary. What You'll Do Own the Robotics AI roadmap & data strategy: Set product direction for the robotics training stack and the data strategy behind it — what data we collect, on which hardware and embodiments, and what we source internally vs. through our marketplace. Establish a vision for where physical AI is heading, driving execution across engineering, operations, and go-to-market teams. Build partnerships with research teams at frontier labs: Work directly with researchers at leading physical AI labs to understand where their robot p

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world’s most important decisions. We’re looking for an AI Product Manager to own the Finance vertical within our Agents Data & Reinforcement Learning Environments team. In this role, you’ll own both the development of RL environments (the realistic, high-fidelity simulations of financial software and workflows that labs use to train and evaluate agents) and the “data as a product” strategy that powers them. You’ll understand where AI is being used in the Finance industry, decide what financial tasks are worth modeling, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product. The ideal candidate has lived inside the Finance industry, and is able to pair that domain understanding with a sense for AI research and current agent capabilities in Finance workflows. You’ll translate that expertise into environments and datasets that teach AI agents to perform real financial work, and you’ll be the domain expert Scale’s most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary. What You’ll Do Own the Finance AI roadmap & data strategy: Set product direction for the Finance agents training stack and the data strategy behind it. Establish a vision for where AI is continuing to transform the Finance industry (including investment banking, private equity, public markets, corporate finance, FP&A, etc), driving execution across engineering, operations, and go-to-market teams. Build partnerships with research teams at frontier labs: Work directly with researchers at leading AI labs to understand where their Finance agentic capabilities fall short and shape new product lines and competit

About the Team DoorDash's Protective Services function safeguards executives, their families, and residences through executive protection, residential security, threat management, and secure transportation across a three-brand global enterprise. The team operates 24/7 and is built on the principle that protection starts before an incident, not after. The people who do this work well combine operational discipline with personal composure, take ownership of outcomes rather than tasks, and represent the program in every interaction with the principal population. About the Role The Protective Services Agent provides close protection for DoorDash executives and their families across all operating environments, including corporate headquarters, domestic and international travel, company events, and residential settings. The role requires a trained executive protection professional who develops and implements security plans, conducts advances and risk assessments, coordinates with law enforcement and venue partners, and serves as the principal's primary security presence. Personnel must be capable of managing incidents and serving as first responders on scene. Operations regularly involve extended duty periods, irregular schedules, and short-notice deployments. Potential travel up to 25% of the time. You are excited about this opportunity because you will… Provide close protection across all principal environments. Serve as the primary security presence for executives and their families across headquarters, travel, events, and residential operations. Maintain continuous situational awareness, assess threats in real time, and execute protective protocols effectively and unobtrusively. Plan and execute security operations. Develop and implement comprehensive security plans for executive movements and events, incorporating site surveys, route planning, risk assessments, staffing requirements, screening procedures, and emergency response strategies. Conduct advances for all pr

The Team + The Role Pendo's Field Marketing team partners closely with Sales to create programs that drive pipeline growth, accelerate deals, and deepen customer relationships. The team builds targeted regional experiences and campaigns that bring Pendo's brand to life for enterprise prospects and customers. The Field Marketing Manager is an embedded strategic revenue partner to the Enterprise sales team. You will own account-specific programs, translate intent data into targeted campaign strategies, create high-touch executive-level experiences, and co-develop territory plans with RVPs. Events are one tactic in your toolkit, not the job itself. This is a hybrid role based out of our office in San Francisco, California. What this looks like day-to-day Sales alignment and territory strategy: Partner closely with RVPs and Account Directors to shape territory and account strategy from the ground up. Attend weekly team calls and account pod meetings, brief the team on campaigns and upcoming programs, and serve as the primary marketing point of contact for Enterprise sales activity in your territory. Account-based and product-based programs: Own dedicated programs for your top 10 priority accounts each quarter, including executive gifting, on-site visits, bespoke events, account-specific content and ads, and direct mail. Maintain account briefs with each account pod and partner with Enterprise demand generation on a coordinated coverage model. Regional field events: Plan and execute approximately three regional in-person field events per quarter in partnership with the AVP. Own pre-event and post-event strategy, attendee targeting, invite flows, day-of experience, reporting, and spend efficiency analysis so the team understands what works in your territory. Intent data and signal activation: Develop working fluency in intent platforms and reports to monitor account buying signals. Review bi-weekly signal briefs and translate them into account-specific program actio

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The strongest enterprise and mid-market marketing doesn't lead with a product — it leads with the problem a buyer already has. A hospital administrator isn't looking for "Lyft Concierge"; they're looking to reduce missed appointments. An auto dealer principal isn't looking for a rideshare product; they're looking to keep loaner logistics from costing them revenue. We are in the process of revising our go-to-market for Lyft Business to organize around these audiences and their transportation problems, with Concierge, Lyft Pass, Business Profiles, and our Business Travel products positioned as the answer to a clearly named pain point by customer profile. We're hiring an Industry Marketing Manager to build that audience-first structure for our priority verticals, starting with Healthcare and Automotive , across both mid-market and enterprise segments. You'll own the vertical narrative and the content, demand generation strategy, and enablement that will drive marketing-attributable revenue. The primary function of this role is to build and lead vertical-specific go-to-market (GTM) motions for our mid-market and Enterprise business — bringing together vertical-specific content, demand generation, and sales enablement into a coherent, audience-first strategy. Responsibilities: Own vertical strategy and integrated programs Design and execute large, orchestrated tentpole programs for our priority verticals (no more than 2 per quarter) — multichannel activation spanning digital, live events, paid media, social, and press — that bring our value proposition and industry point of view to life for a defined buyer (e.g., hospital CFO, healthcare operations leader, dealer principal/service manager). Build and maintain a thought leadership agenda for each prioritized vertical: original research, proof p

WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU As a BDR Manager, you will lead a team of BDRs (Outbound Business Development Reps) that focus on generating meetings, opportunities, and pipeline in net-new and customer accounts for our US Enterprise market segment. You will join a team of highly motivated, energetic sales professionals that take pride in landing new customers, uncovering additional use cases within our current install base, generating pipeline, and delivering the Box message to a wide base of accounts across various industries. WHAT YOU'LL DO Hire, train, manage a team of Business Development Representatives Develop and execute career development plans for growth within the Box Sales organization Set and maintain a high-performing culture and morale through coaching and

About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and dashers. TPMs on our Engineering teams provide fundamental support to the underlying technology services as well as the engineers building these services. It’s no simple task, but it wouldn’t be interesting if it was! About the Role Platform Services is one of DoorDash’s organizations responsible for extending DoorDash beyond the consumer marketplace. The team owns three distinct business lines: Drive, a white-label delivery API that enables external businesses to access DoorDash’s delivery network; Parcels, which provides last-mile logistics for retailers and merchants; and Enterprise (DoorDash for Business), a b2b product suite powering corporate meal programs and large ordering for organizations of all sizes. We are looking for a Senior Technical Program Manager to help scale Platform Services. You will lead important engineering wide initiatives across Enterprise, Drive, and Parcels, working with Engineering, Product, Operations, and business leaders to deliver dependable, extensible logistics capabilities for external businesses. Programs will span backend services, partner and merchant integrations, operational tooling, and platform interfaces. They require strong technical judgment, cross organizational coordination, stakeholder management, and ownership of results. You will report into the centralized Technical Program Management team in Engineering. You're excited about this opportunity because you will… Drive Platform Services’ Most Strategic Programs - You will partner closely with Engineering and Product leadership, Strategy & Operations, and cross-functional teams to turn Platform Services’ strategy into executable technical programs. The portfolio spans Drive (DoorDash’s white-label delivery offering), Parcels (last-mile logistics for merchants and retailers), and Enterprise (DoorDa

At Scale, we are driving the future of AI and Machine Learning across a variety of industries. As the Program Manager for Compliance, you will play a pivotal role in the continued success of Scale. Your role will be instrumental in ensuring the effective operation of our Compliance department and our GRC function, allowing us to maintain the highest standards in our industry. Reporting to the Director & Associate General Counsel, Compliance, you will be a dedicated program manager for Scale's enterprise compliance program and the person who turns policy into practice across anti-bribery and anti-corruption, gifts and entertainment, conflicts of interest, third-party risk and sanctions, policy lifecycle, and company-wide training. This is a hands-on builder, not a maintenance role. You will support Commercial, Public Sector, and international business lines, working closely with Legal, Procurement, Finance, Security, and go-to-market teams. You will: Help build, design, improve, and streamline Scale's core compliance programs, including anti-bribery and anti-corruption (ABAC), gifts and entertainment, conflicts of interest, and third-party risk and sanctions screening. Collaborate with stakeholders across the company to improve compliance policies, processes, and procedures. Monitor regulatory developments relevant to Scale's business, translate them into concrete policy and process changes, and track compliance obligations flowing out of customer contracts. Partner with leadership to build, mature, and operationalize the company's enterprise risk management (ERM) framework, identifying and assessing key business risks. Build the reporting layer: metrics and periodic reporting that give Legal & GRC leadership a defensible picture of program health. Flex into audit and assurance work during peak certification periods, and own inbound customer and investor compliance diligence questionnaires. Ideally you'd have: 5+ years building or operating ethics and c

About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems (AIS) is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. AIS spans multiple workstreams — agent evaluation and oversight, orchestration and tool-use infrastructure, model and systems optimization, and applied research on new agent capabilities — and this role is not scoped to any single one of them. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As a Staff Machine Learning Research Engineer, you will operate across the full breadth of AIS’s technical needs — wherever the hardest ML problem in agentic AI happens to be that quarter. This could mean training and fine-tuning models, designing evaluation and observability systems, building improvement loops from production data, prototyping novel agent architectures, or designing internal systems and tooling that boost productivity across teams. You’re not tied to one team’s roadmap; you’re expected to move to where the technical leverage is highest, and t

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 the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale’s Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate t

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

Location - Hybrid This is a hybrid role based out of our San Francisco, Corporate Headquarter office, 3 days in the office, 2 days work from home. 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 The Senior GTM Strategy & Planning Analyst will play a key role in supporting go-to-market (GTM) strategy through sales forecasting, churn forecasting, revenue analytics, and capacity planning across the GTM teams. This role will partner closely with Sales, Marketing, Customer Success, and Finance to align GTM initiatives with company growth objectives and contribute to executive-level insights for board presentations. Responsibilities GTM Board Materials: Support preparation of sales forecasting, churn forecasting, and revenue insight materials for executive and board review, ensuring data accuracy and alignment with company strategy. Executive Reporting: Help develop executive-level reporting materials, including presentations that translate complex data into clear, actionable insights. Forecasting: Build and maintain sales forecasting models in partnership with Sales Leadership, modeling pipeline generation, deal velocity, close rates, and other key metrics. Build predictive models to forecast customer churn, leveraging historical data and customer behavior insights to inform retention and renewal strategies. GTM Capacity Planning: Build and maintain capacity models to help ensure GTM t

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