Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure is seeking a Director, GTM Economics & Science to drive go-to-market (GTM) efficiency by leading our causal measurement science vision. You will lead the development of advanced statistical methodologies to measure the incrementality of sales headcount, incentive investments, and customer-facing activities (e.g. workshops, proofs of concept, enablement collateral, events). In this high-impact role, you will pioneer advanced statistical frameworks that separate true sales-driven lift from market noise, directly shaping global headcount planning and incentive designs. Collaborating closely with executive GTM Finance, Data Science, and Sales leadership, you will transform massive datasets into production-grade science deliverables that maximize global revenue and optimize ROI. WHAT YOU'LL DO Own the Go-To-Market Causal Measurement Strategy: Architect and execute the long-term roadmap for measuring sales incrementality, partnering with senior Sales, Finance, and Operations executives to deliver highly accurate, actionable insights that guide global investment decisions. Design and Deploy Advanced Causal Models: Build, validate, and scale state-of-the-art observational models (such as causal forests, panel methods, and uplift models) in R or Python to isolate true headcount-driven lift and incentive plan performance from external market demand and noise. Drive Investment ROI and Strategic Alloc
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Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure is seeking a Director, GTM Economics & Science to drive go-to-market (GTM) efficiency by leading our causal measurement science vision. You will lead the development of advanced statistical methodologies to measure the incrementality of sales headcount, incentive investments, and customer-facing activities (e.g. workshops, proofs of concept, enablement collateral, events). In this high-impact role, you will pioneer advanced statistical frameworks that separate true sales-driven lift from market noise, directly shaping global headcount planning and incentive designs. Collaborating closely with executive GTM Finance, Data Science, and Sales leadership, you will transform massive datasets into production-grade science deliverables that maximize global revenue and optimize ROI. WHAT YOU'LL DO Own the Go-To-Market Causal Measurement Strategy: Architect and execute the long-term roadmap for measuring sales incrementality, partnering with senior Sales, Finance, and Operations executives to deliver highly accurate, actionable insights that guide global investment decisions. Design and Deploy Advanced Causal Models: Build, validate, and scale state-of-the-art observational models (such as causal forests, panel methods, and uplift models) in R or Python to isolate true headcount-driven lift and incentive plan performance from external market demand and noise. Drive Investment ROI and Strategic Alloc
About the Team At DoorDash, we're redefining the future of on-demand delivery. At the center of this is our marketplace, connecting 30+ million customers on DoorDash with their favorite restaurants and brands! The Marketplace team focuses on growing our consumer business, including DashPass, our global subscription program. Our vision is to create the world’s leading membership program in local commerce, delivering unprecedented value and a world class experience to members. About the Role We're looking for a Senior Manager, DashPass Strategy & Operations to build and own the merchant co-funding strategy behind DashPass. DashPass benefits are what make membership the most valuable proposition in local commerce — this role is about making them sustainable and scalable by unlocking merchant investment in them. You'll sit at the intersection of our consumer subscription business and our merchant and monetization teams. You'll define what merchants get from DashPass, quantify it credibly, and turn that into co-funded offers that scale across the full spectrum of merchant cohorts — from our largest Enterprise brands down to hundreds of thousands of SMBs, each with fundamentally different economics, decision-making, and tooling needs. You'll also be the voice ensuring the benefits we put in front of members are evaluated on merchant outcomes, not just consumer ones. Success in this role depends on building conviction with data and driving outcomes across product, engineering, data science, marketing, finance, and commercial teams without direct authority. Own the DashPass co-funding strategy end to end — define which benefits merchants should fund, at what level, and why; build the business case that makes it compelling for merchants and accretive for DashPass Build and defend the merchant value proposition for DashPass — quantify incremental volume, new customer acquisition, and order frequency attributable to DashPass, and turn that into a repeatable, credible pitch
Our Strategy and Planning team, part of our broader Sales Operations team, strives to help our Sales organization go faster and grow faster. This function acts as business partners to our Senior Sales Leaders. You have an opportunity to embed yourself as the “COO” of the Enterprise business, and your responsibilities will range across a variety of strategic initiatives including analyzing inefficient business rules, piloting new sales roles, optimizing for obstacles in the sales process, and analyzing sales data to come up with meaningful business insights. We are seeking a Manager of Sales Strategy & Planning to run our AMER (West) region alongside our AI GTM strategy. This role will shape how our future organization becomes more productive, scalable, and AI-enabled—by defining high-impact use cases, driving cross-functional programs, and ensuring successful adoption of new capabilities. We are looking to speak to candidates who are based in San Francisco or Los Angeles for our hybrid working model. The Opportunity As an AMER Strategy and Planning Manager, you will: Help drive the analytical rhythm of our business including quarterly business reviews, org deep dives Organize and execute on the strategy of our AI GTM team - building the next wave of MongoDB customers Partner with Senior Sales leadership to drive market + segment specific analyses to uncover insight and provide recommendations Conceptualize and pilot new programs to test the effectiveness of various sales roles / comp plans Participate in quarterly and annual business planning for the Sales teams The Ideal Candidate Education: Bachelor’s Degree with a quantitative focus (Economics, Finance, Computer Science, Mathematics, etc.) Experience: 5+ years of work experience in either Sales Strategy / Consulting / Sales Operations / Analytics Technical Aptitude: Strong proficiency in SQL, AI tooling, and data visualization Analytical Mindset: Proven experience working with large datasets to co
Role Description We are seeking a Senior Manager, Data Engineering to lead the team responsible for Dropbox’s underlying data foundations that power our business as a whole. This is a hands-on engineering leader who owns the pipelines and data products that Product, GTM, Finance, and the CTO organization depend on to make decisions. In this role, you will lead and grow a team of data engineers building and operating our ingestion, transformation, orchestration, and serving layers, as well as the self-serve analytics substrate that lets partner teams answer their own questions without bespoke engineering work. The ideal candidate is a deeply technical, product-minded engineering leader who can hold a high bar on system reliability and data quality while partnering closely with Data Science, Business Intelligence Engineering, Analytics, and Product to turn fragmented, ticket-driven data work into durable, reusable data products. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Data Quality & Observability: Establish and enforce a rigorous data quality culture: lineage, freshness monitoring, anomaly detection, and outcome-oriented, gaming-resistant quality metrics. Self-Serve Platform: Lead the engineering of the self-serve analytics substrate, reducing bespoke request volume and increasing partner-team autonomy. Cost & Efficiency: Own the unit economics of the data platform — compute and storage efficiency — and drive measurable improvements without sacrificing reliability. Cross-Functional Partnership: Partner deeply with Data Science, BIE, Analytics, Product, Data Platform, and the CTO org to define the semantic layer, modeling standards, and data contracts that make downstream work trustworthy and fast. Engineering Culture: Establish rigorous engineering practices
Role Description We are seeking a Senior Manager, Data Engineering to lead the team responsible for Dropbox’s underlying data foundations that power our business as a whole. This is a hands-on engineering leader who owns the pipelines and data products that Product, GTM, Finance, and the CTO organization depend on to make decisions. In this role, you will lead and grow a team of data engineers building and operating our ingestion, transformation, orchestration, and serving layers, as well as the self-serve analytics substrate that lets partner teams answer their own questions without bespoke engineering work. The ideal candidate is a deeply technical, product-minded engineering leader who can hold a high bar on system reliability and data quality while partnering closely with Data Science, Business Intelligence Engineering, Analytics, and Product to turn fragmented, ticket-driven data work into durable, reusable data products. Responsibilities Data Quality & Observability: Establish and enforce a rigorous data quality culture: lineage, freshness monitoring, anomaly detection, and outcome-oriented, gaming-resistant quality metrics. Self-Serve Platform: Lead the engineering of the self-serve analytics substrate, reducing bespoke request volume and increasing partner-team autonomy. Cost & Efficiency: Own the unit economics of the data platform — compute and storage efficiency — and drive measurable improvements without sacrificing reliability. Cross-Functional Partnership: Partner deeply with Data Science, BIE, Analytics, Product, Data Platform, and the CTO org to define the semantic layer, modeling standards, and data contracts that make downstream work trustworthy and fast. Engineering Culture: Establish rigorous engineering practices — code review, testing, CI/CD for data, incident response, and postmortems — and champion the effective, measured use of AI coding tools to improve engineering productivity. Team Leadership: Lead, mentor, and grow
About the Team The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-To-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our expanding Data Science function, we’re building a best-in-class Forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more. We are developing scalable forecasting infrastructure to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy - supporting key investment decisions and unlocking OpenAI’s full potential. About the Role We’re looking for a senior Machine Learning Data Scientist to lead our forecasting initiatives. You’ll be one of the founding members of the Forecasting pillar within Strategic Finance Data Science, responsible for building and scaling robust, interpretable, and production-ready forecasting systems. Your models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, LTV, compute consumption, and profitability. This is a highly cross-functional role, requiring technical excellence, strong product intuition, and business acumen. You’ll collaborate with product managers, researchers, engineers, and finance leaders to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Build statistical and machine learning models to solve forecasting needs across product, finance, infrastructure, and GTM domains. Own the end-to-end modeling lifecycle , including scoping, feature engineerin
We are looking for a Strategic Finance Lead to help scale Perplexity’s consumer and enterprise businesses. You will partner with Marketing and Growth leaders to identify growth opportunities, understand customer economics, and turn investment decisions into measurable business results. You will build our marketing-finance capabilities while helping shape how we acquire customers and generate enterprise pipeline. This role starts as a hands-on individual contributor position for someone who enjoys open-ended problems and turning analysis into action. You will work closely with business leaders and cross-functional teams, with room for your scope to evolve as the company grows. We value someone who can set direction, dig into the details, and follow through. Key Responsibilities Develop the customer economics and investment recommendations that guide how we acquire and retain customers, grow enterprise pipeline, and scale marketing spend. Use CAC, LTV, and payback to evaluate investment returns. Partner with Marketing and Growth leaders to build and scale growth initiatives, identify constraints, and determine the resources and changes needed to produce more business. Build models and analyses to guide growth investments, translate plans into resource requirements and spending forecasts, and track commitments as plans evolve. Collaborate with data and business partners to strengthen measurement and attribution, connecting marketing activity to business outcomes. Help teams make investment decisions with incomplete information, making assumptions explicit and using results to refine where we invest. Take ownership of emerging strategic questions across GTM, bringing clear recommendations and adapting as priorities change. What You'll Bring 5+ years of experience in strategic finance, business operations, growth analytics, or a related field, with experience supporting growth-oriented decisions. Strong financial modeling and analytical skills, with a deep understanding
About the role As a Pricing Strategist focused on GTM, you will help shape pricing strategy for B2B enterprise customers across our product portfolio. Working within Finance and partnering with GTM, Sales, and Product, you will focus on pricing analytics, price performance, and the effectiveness of credit programs while contributing to broader commercial strategy. In this role, you will Build regular pricing-performance reviews, analyze discounting and concessions, and turn findings into better pricing guidance. Develop commercial strategies and pricing programs for customer segments such as education, startups, and government. Define objectives and success measures for credit programs and promotions, and evaluate their return on investment. Translate segment goals and product pricing strategy into scalable pricing frameworks and commercial structures. Partner on strategic enterprise deals to align commercial proposals with sound deal economics and pricing strategy. You might thrive in this role if you Approach problems from first principles, identify root causes, and develop clear options for stakeholders. Work effectively through ambiguity and differing perspectives. Understand how sales organizations operate and collaborate well across GTM strategy, Finance, and Product. Bring relevant experience from consulting, strategy and operations, or pricing, particularly work involving analytical teams. Experience with pricing analytics, pricing frameworks, discounting guardrails, or new-product pricing is helpful, but a strictly pricing-specific background is not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we mu
About the Team OpenAI’s Strategic Finance organization provides financial insights and guidance to support the company’s long-term strategy and ambitious growth. We partner across Product, Partnerships, Engineering, and GTM to allocate resources to the highest-impact opportunities while protecting sustainable unit economics. The Applications Technology Strategic Finance team partners closely with Product to scale core offerings and bring new products to market. We lead revenue forecasting and performance management across the product portfolio, including economic margins, pricing, and partnership deal pricing and structuring. About the Role We are hiring on our Strategic Finance Partnerships team to drive strategic decision-making across OpenAI’s growth and media partnership portfolio, focused on our consumer business. This role will be a critical finance partner to Partnerships deal leads and Product owners, responsible for evaluating, pricing, and structuring partnerships, and translating partner opportunity into decision-ready economics and performance management. The role will be hands-on in deal evaluation, negotiation support, and portfolio oversight. You will shape how OpenAI approaches partnership unit economics, measurement and incrementality, and how partnership performance is incorporated into forecasts and planning. This role is based in San Francisco, CA, with a hybrid work model (3 days/week in-office). Relocation assistance is available. In this role, you will: Own financial evaluation for growth and media partnerships, including modeling revenue, margin, compute, and payback to support decision-making and negotiations. Develop clear economic frameworks and deal guardrails (pricing floors, rev-share structures, caps, minimum guarantees, performance-based terms) to protect long-term unit economics. Partner closely with Product and Partnerships to define and measure incrementality and ensure contract terms align with measurable outcomes. Lead partnershi
Strategic Sales Executive Location: Remote, USA Department: GTM — Sales About Syllo Syllo is defining the Litigation AI category. We are the first unified platform designed to autonomously manage the entire litigation lifecycle end-to-end. Founded in 2019 by a team of litigators and engineers, Syllo enables legal teams to securely harness the power of AI across any matter, regardless of complexity or scale. Our technology supports Fortune 500 companies and AmLaw 200 firms managing their most complex litigation portfolios. Awarded ILTA Transformative Project of the Year and ALM eDiscovery Technology of the Year for 2026, we are the market leader in enterprise-grade litigation AI. Backed by top-tier VCs, we are at a clear inflection point — the team has doubled in the last six months and growth is accelerating. About the role Close the enterprise deals that define a category. This role owns the full sales cycle for Syllo's largest opportunities — AmLaw 200 firms and Fortune 500 legal departments running complex commercial litigation. Average deal size is $500K+ ARR with 6–18 month cycles. You will manage multi-stakeholder buying committees that include GC, CLO, CFO, and procurement, and you will close. We are looking for an enterprise closer who has sold to legal buyers, runs a disciplined qualification process, and builds champion relationships that survive committee scrutiny. The market is real, the product is differentiated, and the demand is proven. What you will do Own the full enterprise cycle: From qualified opportunity through signed contract. You are responsible for the deal — discovery, demo, proof of concept, negotiation, close. Sell to legal leadership: Build relationships and economic cases with GC, CLO, and CFO. Translate platform capability into matter economics and risk reduction. Run MEDDPICC with precision: Maintain complete qualification records. Forecast is not aspiration — it is evidence. Partner with Solutions Architec
About the team The Pricing & Monetization team is responsible for how OpenAI products create and capture value. We partner closely with GTM, Finance, and Product to design pricing models, packaging, and commercial strategies that support adoption, growth, and long-term scaling of the business. To thrive in this team, you need to be a proactive problem-solver who excels at bringing structure to ambiguous challenges. Our work demands strategic thinking, cross-functional collaboration, and precision in execution. Team members succeed when they are analytical, detail-oriented, skilled at balancing multiple priorities, and passionate about driving high-stakes projects forward to deliver meaningful results. About the role We are looking for a Pricing Strategist to shape the pricing frameworks, commercial policies, and decision principles that govern our most consequential commercial decisions. This role works closely with senior leaders across GTM and Finance to define our overall pricing strategy for our sales managed segment as well as the key pricing guardrails and commercial pricing framework we enable to help our sellers and customers move fast and land mutually beneficial commercial agreements at scale. The ideal candidate is comfortable developing durable monetization frameworks and commercial policies, analyzing tradeoffs, and supporting high-impact decisions. They bring structure to ambiguity, communicate tradeoffs crisply, and know when an exception reveals a one-off need versus a broader opportunity to improve our commercial model. This role will report to the Head of Go-to-Market Pricing. In this role, you will Develop frameworks and strategies that guide commercial pricing decisions. Design commercial constructs—including commitments, incentives, and risk-sharing approaches—that address customer needs while supporting healthy unit economics and long-term growth. Build and evolve discounting frameworks, guardrails, and approval principles that improve pric
Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. About the Role The Senior Director of GTM Planning & Analysis will lead the integrated planning, forecasting, and performance management process across Justworks’ go-to-market organization. This leader will connect company strategy and the financial plan to an integrated GTM plan, translate that plan into functional priorities and resource decisions, measure performance against it, and help leadership adjust investments, execution, or strategy as results evolve. Justworks operates a multi-product platform with a mix of product-led and self-service acquisition, managed sales, partner-led growth, and customer expansion. This role will ensure those motions are planned and managed as one integrated growth system rather than as separate channels. The role will bring together top-down company objectives and bottom-up operating assumptions to create a credible path to the financial plan. This includes connecting marketing investment, demand generation, pipeline, product-led conversion, sales capacity and productivity, partnerships, retention, expansion, product mix, and customer economics into one shared view of the business. This is not primar
Director, Value Engineering Location: Remote, USA Department: GTM — Pre-Sales About Syllo Syllo is defining the Litigation AI category. We are the first unified platform designed to autonomously manage the entire litigation lifecycle end-to-end. Founded in 2019 by a team of litigators and engineers, Syllo enables legal teams to securely harness the power of AI across any matter, regardless of complexity or scale. Our technology supports Fortune 500 companies and AmLaw 200 firms managing their most complex litigation portfolios. Awarded ILTA Transformative Project of the Year and ALM eDiscovery Technology of the Year for 2026, we are the market leader in enterprise-grade litigation AI. Backed by top-tier VCs, we are at a clear inflection point — the team has doubled in the last six months and growth is accelerating. About the role Syllo is seeking a Director, Value Engineering to help law firms and corporations realize the full value of the unified Syllo platform. Reporting to the EVP of GTM and working closely with Sales, Sales Directors, and the Managing Director, Sales, this leader will build the financial and strategic narrative behind Syllo's platform — from profitability modeling and deal scoping to executive-level briefings with our most sophisticated clients. What you will do Quantify value: Partner directly with the sales team to build and present tailored profitability and ROI models that quantify the value of Syllo's platform. Conduct deep discovery: Perform in-depth discovery into a prospect's current workflows, cost structure, and case economics, translating findings into compelling, data-backed business cases. Deliver executive briefings: Design and deliver executive-level briefings and business case presentations for C-suite and Big Four-caliber decision-makers at law firms and corporations. Scope and structure deals: Help Sales appropriately scope and structure deals, ensuring pricing and packaging align with the value delivered and each client
About the team Special Situations builds and grows new businesses, capabilities, and first-of-kind or highly strategic partnerships for OpenAI. We take on opportunities with meaningful upside where the offering, commercial model, partnership structure, or delivery approach still needs to be developed. We bring together commercial judgment, operating experience, and industry expertise to turn these opportunities into results. Our work spans first engagements, expansion into new markets, and longer-term businesses and partnerships that we help build and scale. About the role We’re hiring a Deal Lead to develop and execute some of OpenAI’s most consequential commercial opportunities. You’ll identify where our capabilities can create meaningful value, shape what we offer and how we bring it to market, structure and negotiate partnerships, and drive the work from an initial thesis through launch and growth. You’ll work closely with Product, Research, GTM, Finance, Legal, and delivery teams to connect customer needs, technical capabilities, and viable economics. This is a hands-on role: you’ll drive the commercial strategy and execution. In this role, you will: Identify and develop high-value opportunities across industries, markets, and emerging capabilities, translating customer needs into concrete AI use cases and commercial opportunities. Shape new offerings and business models: define who we serve, what we offer, how we price it, and how we bring it to market. Originate and grow customer and partner relationships, building executive alignment around the opportunity, desired outcomes, and path forward. Work with FDEs, researchers, Product, and GTM teams to prioritize use cases and define scope, success criteria, resourcing, and a viable delivery approach. Structure and negotiate complex partnerships, including revenue sharing, royalties, outcome-based pricing, and other non-standard commercial arrangements. Drive executive-level decisions on strategy, economics, resou
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