Gtm Operations Associate in San Francisco

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 Strategy and Planning 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 US and CAN Ads and Promos Post-Sales organization spanning multiple sales motions and role types. You'll be the primary planning and strategy partner for a high-velocity, high-volume sales motion where quota attainment, goaling accuracy / consistency, and rep productivity are the north stars. This role will report into a Senior Manager, Sales Strategy and Planning. 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 comprehensive understa

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 DoorDash is looking for a strong individual contributor within Sales Strategy - Sales Planning & Incentives, to execute 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 bring a strategic mindset and deliver critical insights using analytical and technical support to the successful administration of sales incentive programs globally while proactively building partnerships, promoting open dialogue and creative insights expertise to issues in real time. This role specifically supports our US SMB Presales organization spanning multiple sales motions and role types. You'll be a planning and strategy partner for a high-velocity, high-volume sales motion where quota attainment, goaling accuracy / consistency, and rep productivity are the north stars. This role will report into a Senior Manager, Sales Strategy and Planning. You’re excited about this opportunity because you will… Work closely with sales leadership, sales strategy, finance, and product teams to own the development, implementation and administration of new and existing sales incentive structures Work closely with cross-functional partners (product, finance, sales, sales operations) to build a

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

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. Amplitude is looking for a Senior Salesforce Platform Engineer to support the scaling and ongoing evolution of our go-to-market (GTM) systems. You'll own end-to-end visibility into our Salesforce platform, from day-to-day configuration and support to long-term architecture and improvement. As part of our GTM Engineering team, you’ll partner with Sales, GTM Operations, Finance, Product & Engineering, and GTM leadership to deliver well-governed solutions across Salesforce and connected platforms like CPQ, NetSuite, Amplitude, and Snowflake. What You'll Do Hands-on platform administration, configuration, troubleshooting, maintenance, testing, upgrades, and user support Maintain and optimize CPQ, pricing, quoting, and opportunity workflows to support the quote-to-cash process Serve as the escalation line of support for Salesforce, handling escalated i

Head of Enterprise GTM Strategy & Operations Reports to VP, Enterprise Sales · SF or NY Reporting to the VP of Enterprise Sales, this role owns both halves of Scale AI’s enterprise revenue engine: the strategy that determines where we play and how we win, and the operating system - people, process, and systems - that makes that strategy executable, measurable, and repeatable. On the strategy side, you set the analytical foundation for enterprise growth: segment and account prioritization, coverage and territory design, pricing and packaging inputs, and the diagnostic work that explains why the funnel behaves the way it does. On the operations side, you own the RevOps stack, forecasting, compensation design, sales enablement, and the operating cadences that convert strategy into predictable quarterly execution. The ideal candidate is equally comfortable building a segmentation model from a blank page and running a Monday morning pipeline review. You will lead an established team, with the Head of Sales Enablement and the RevOps Manager as direct reports. Your first job is to raise the ceiling on what that team delivers: sharper analysis, tighter operating rhythm, and enablement that measurably shortens ramp and lifts win rates. This is a senior, highly visible role partnering with Enterprise Sales leadership, Finance, Marketing, Product, and Solutions Engineering, with regular exposure to the executive team and board materials. STRATEGY Define which segments, industries, and accounts Scale prioritizes, and build the analytical case behind those choices Build and maintain the market sizing, segmentation, and account-tiering models that drive coverage decisions and investment trade-offs Lead hypothesis-driven analyses of the enterprise funnel - win/loss patterns, conversion drivers, deal economics, coverage gaps - and translate findings into specific changes to how we sell Partner with Finance and Product on pricing, packaging, and deal-structure strateg

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! The Role We're looking for our founding AI Data Product Manager to own Snorkel's Agentic Data and RL Environments roadmap. In this role, you'll lead the product strategy for a variety of data types (e.g. Agentic Coding, Computer Use). You will shape the roadmap for the datasets Snorkel invests in by understanding the market, incorporating frontier lab needs and collaborating with researchers at Snorkel and our academic partners. This role is highly cross-functional, sitting between Research, GTM and Operations. As a founding member for this role, you will be in charge of setting up the frameworks to build the roadmap, gather data from relevant sources, and share the roadmap with both internal and external stakeholders. What You'll Do Own the "data as a product" roadmap for Snorkel's Agentic and RL Environment focus areas, working x-functionally with research, academic partners, and GTM to define the skills and capabilities for our datasets Shape new "data" product areas and work with academic partners and research leaders to build Snorkel's competitive edge in the market Collaborate cross-functionally to help shape the roadmap and data strategy and influence bu

Director of Engineering, Physical AI Role Overview The Director of Engineering will report to the General Manager of Physical AI, and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role, you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment. This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play. Key Responsibilities: Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads Required Qualifications: Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentorin

As Sigma scales its global footprint, the Sales Engineering (SE) organization is the technical engine driving our GTM motion. We are looking for a Strategy and Operations Lead, SE to partner directly with our VP of SE and serve as the operational bedrock for this critical organization. Operating within our broader GTM Strategy & Operations team, you will own the global operating rhythm, operational infrastructure, and capacity planning for the entire SE organization. You will drive strategy across a highly matrixed, global environment. You are part strategist, part builder, and part operator - responsible for ensuring our pre-sales motion scales seamlessly. What You Will Do Drive Business Reporting & the SE Operating Rhythm: Own the cadence of the SE organization. Design and execute regular business reviews and leverage Sigma to build robust, real-time reporting that gives the VP of SE crystal-clear visibility into technical pipeline health, team utilization, and conversion metrics. Optimize Funnel Mechanics & Deal Acceleration: Deep dive into the pre-sales funnel to identify where deals stall during technical validation. Partner with SE leadership to optimize the Proof of Concept (POC) lifecycle, remove friction, and accelerate the technical win. Lead Global Headcount & Capacity Planning: Serve as the SE representative in cross-functional GTM planning cycles. Own end-to-end global SE capacity requirements, design territory allocation frameworks, and manage annual headcount planning seamlessly across AMER, EMEA, and APAC. Build Solutions in Sigma: Leverage Sigma itself to build robust operational solutions, designing the dashboards, data models, and workflows needed for POC tracking, capacity management, and performance visibility. Act as the Cross-Functional Hub: Represent the SE organization in all major GTM Strategy & Operations initiatives. Serve as the connective tissue between SE, Sales, Product, and RevOps, ensuring SE requir

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. We are building out Finance business operations to drive disciplined execution of both organic and inorganic initiatives, including M&A integration, strategic programs (AVs, Luxury), and other new product initiatives (NPIs). This is a strategy-to-execution role that requires strong judgment, cross-functional leadership, and the ability to drive outcomes in ambiguous, high-stakes environments. We are seeking a high-impact Finance BizOps leader to sit at the center of this effort, owning finance integration execution (in partnership with Lyft’s Corp Dev IMO), NPI financial readiness, and the intake/governance layer that connects Finance to the company’s most strategic initiatives. This role is the operating backbone for Finance – ensuring acquisitions integrate seamlessly, new products launch cleanly, and Finance work is prioritized with rigor and transparency. As the company scales, the volume and complexity of strategic initiatives—M&A, new products, and cross-functional programs—continues to increase. This role establishes a centralized operating model that ensures: Strategic initiatives are executed with discipline and completeness Finance is embedded early and effectively ensuring strong planning to execution across multiple teams to deliver strong customer and business results The organization scales without accumulating operational debt or technical debt Responsibilities: Strategic program Readiness Act as the central Finance lead for new product initiatives and large strategic programs Build strong working relationships with key product and business leaders and stay “in the know” on planned launches Partner with Finance SMEs, Product, Engineering, and GTM teams to ensure: Financial workflows and requirements are defined Systems, processes, and financ

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About The Role & Team The Senior Marketing Analyst will be a strategic analytics partner to the Marketing organization, helping leaders understand performance, identify opportunities, and make better decisions through data. Reporting to the Director of Marketing Operations, you'll bring strong B2B SaaS analytics expertise to marketing planning, performance measurement, and business insights. You'll work closely with Marketing, GTM Analytics, Sales Analytics, Customer Success Analytics, and FP&A to connect data across the funnel and translate it into actionable recommendations. This is an opportunity to have a meaningful impact on how Amplitude measures and drives efficient GTM growth. As a Senior Marketing Analyst, you will: Turn data into actionable marketing insights: Analyze marketing performance and funnel trends to identify what's w

The Sales Compensation Manager is vital for scaling and operationalizing Sigma's sales compensation process. You will ensure accurate, timely compensation payouts using expert analysis and refine processes, tools, and reporting to align compensation with business results. This role is ideal for a self-starter who thrives on ownership, data integrity, and cross-functional collaboration between Finance, Revenue Operations, and GTM leadership. Key Responsibilities Commission & Incentive Processing Execute end-to-end commission calculation validation and processing for sales commissions and incentive payouts with high accuracy and precision. Identify, troubleshoot, and resolve calculation discrepancies and stakeholder escalations efficiently. Support compensation accruals and roll-up reporting in coordination with Finance close cycles. Systems & Platform Administration Manage Sigma’s compensation platform with the broader team. Ensure clean data flows between CRM (Salesforce), HRIS, ERP, and comp systems. Plan Governance & Communication Support administration of quota rules, crediting structures, and payout policies. Prepare clear plan documentation, and communication for GTM teams. Cross-Functional Collaboration Partner closely with Finance, Sales Operations, HR/People, and Data to align comp mechanics with business strategy. Identify, prioritize, and implement process improvements that increase accuracy and reduce manual effort. Qualifications: 5+ years of experience in sales compensation, ideally within fast-scaling SaaS orgs. Advanced proficiency with Salesforce CRM, Sigma and spreadsheet tools. Familiarity with consumption-based models and usage-driven GTM strategies. Exceptional attention to detail, robust problem-solving skills, and a strong systems mindset. Effective communication skills with the ability to clearly translate complex compensation logic for both technical and non-technical audiences. Bo

The Sales Compensation Manager is vital for scaling and operationalizing Sigma's sales compensation process. You will ensure accurate, timely compensation payouts using expert analysis and refine processes, tools, and reporting to align compensation with business results. This role is ideal for a self-starter who thrives on ownership, data integrity, and cross-functional collaboration between Finance, Revenue Operations, and GTM leadership. Key Responsibilities Commission & Incentive Processing Execute end-to-end commission calculation validation and processing for sales commissions and incentive payouts with high accuracy and precision. Identify, troubleshoot, and resolve calculation discrepancies and stakeholder escalations efficiently. Support compensation accruals and roll-up reporting in coordination with Finance close cycles. Systems & Platform Administration Manage Sigma’s compensation platform with the broader team. Lead system updates, user access coordination and UAT Ensure clean data flows between CRM (Salesforce), HRIS, ERP, and comp systems. Plan Governance & Communication Support administration of quota rules, crediting structures, and payout policies. Prepare clear plan documentation, and communication for GTM teams. Cross-Functional Collaboration Partner closely with Finance, Sales Operations, HR/People, and Data to align comp mechanics with business strategy. Identify, prioritize, and implement process improvements that increase accuracy and reduce manual effort. Qualifications: 5+ years of experience in sales compensation, ideally within fast-scaling SaaS orgs. Advanced proficiency with Salesforce CRM, Sigma and spreadsheet tools. Familiarity with consumption-based models and usage-driven GTM strategies. Exceptional attention to detail, robust problem-solving skills, and a strong systems mindset. Effective communication skills with the ability to clearly translate complex compensation lo

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both internal and external (demo) use cases. Reporting to the VP of Data & Revenue Engineering, this is a high visibility role with the opportunity to work on greenfield projects. If you’re a data engineer with a builder mindset who wants to leverage a best-in-class stack, and genuinely is invested in Sigma’s mission, let’s chat! What You Will Be Doing Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma ( Tech we use : Fivetran, dagster, dlt, terraform, dbt, Snowflake, Sigma, Hightouch, Metaplane) Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses Scale our terraform deployment across all of our Snowflake assets Continue to advance our data governance policies Work cross functionally to accomplish all of the above! You’ll work across Product, Engineering, GTM—with users of all skills and levels Qualifications We Need Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks) Strong communication and collaboration skills. You will primarily partner with the Analytics and Infrastructure Engineering teams internally at Sigma; your ability to work and collaborate closely with them will be integral to your success. Experience deploying data governance frameworks with a scalable and repeatable process Ability to thrive in ambiguous environments and get stuff done. We move fast and iterate quickly, and we want you to feel empowered to do exactly that 3+ years of relevant experience wor

Join the team shaping the future of AI at Scale. Scale builds RL environments: sandboxed replicas of the digital spheres where real knowledge work occurs and built from the operating data of the companies that actually hold it. As the Data Acquisition Lead , you will own the commercial motion that gets us that data end to end. You will figure out which companies sit on the data for the next domain worth owning and then go and get it. This is a zero-to-one function with no playbook. You should be prepared to wear many hats, from thesis-driven dealmaker to hands-on operator to technical translator between commercial and Research teams. You will: Map the supply side. Work backwards from where labs are pushing to the specific organizations holding the underlying data. Build a thesis on which domains are worth owning and in what order. Invent the deal structures. You'll work with Scale’s legal team to define the first version of how these transactions get priced. Close. Own it from cold outreach to signature. Close the loop with the technical side. You need to hold a real conversation about what makes a dataset trainable and become an expert in what makes this underlying data valuable. Build the machine. Do the work by hand first, then turn what you learn into a repeatable pipeline. Ideally, you’d have: 5+ years across some mix of business development, corp dev, commercial strategy, or early-stage GTM. The label matters less than a track record of building a commercial motion that didn't exist before you got there A strong track record of managing important external relationships Strong business judgment and the ability to evaluate partnership value quickly Clear communication skills and comfort working with senior stakeholders Ability to operate independently while staying closely connected to cross-functional teams A practical, hands-on approach to building new functions from the ground up Comfort working in fast-moving, ambiguous environments Experience in

About the Team Merchant Analytics helps DoorDash make better product, business, and go-to-market decisions through high-quality analytics, predictive modeling, experimentation, and strategic thought partnership. We work across some of DoorDash’s most important merchant and marketplace priorities, building the measurement, insights, and decision frameworks that improve outcomes for merchants and drive company impact. About the Role We’re hiring two Data Science Managers, each to lead a pod within Merchant Analytics and help shape high-priority product and business decisions. In this role, you will lead a team of data scientists, partner closely with Strategy & Operations, Product, Engineering, and business leaders, and turn ambiguous questions into clear recommendations that influence roadmap and plan outcomes. Success in this role means building a high-performing team, raising the quality and speed of decision-making, and ensuring analytics work is tightly connected to measurable business impact. You will report into Director, Data Science on our Merchant Analytics team in our Analytics organization. You’re excited about this opportunity because you will… Lead and develop a team of data scientists responsible for high-impact analytics, predictive modeling, and decision support tied to DoorDash’s most important product, business, and GTM priorities. Partner closely with Strategy & Operations, Product, Engineering, and business leaders to shape decisions, influence roadmaps, and improve plan-critical metrics. Define success metrics, build measurement frameworks and predictive models, and use experimentation and analysis to connect product and operational levers to business outcomes. Build a high-performing pod that balances analytical rigor, strong prioritization, and clear storytelling in a fast-moving environment. Scale reusable analytics frameworks, tools, models, and best practices that make the broader organization more effective over time. We’re excited