Founding Go-To-Market Strategist

Join Airwallex as a Senior Data ScientistAt Airwallex, we are revolutionizing the payment and financial landscape for global businesses. Our all-in-one platform empowers over 200,000 companies worldwide, including renowned brands like Brex, Rippling, Navan, Qantas, and SHEIN, to manage their business accounts, payments, spend management, and treasury solutions seamlessly.Founded in Melbourne, our diverse team of over 2,000 innovators spans across 26 offices globally. With a valuation of US$8 billion and support from top-tier investors such as T. Rowe Price, Visa, Mastercard, and Sequoia, we are at the forefront of creating the future of global finance. If you are ready for a career-defining challenge, we invite you to join our mission.What We Look ForWe are seeking dynamic individuals with a builder’s mindset who thrive on making a significant impact and possess a passion for learning. You should bring expertise in data science, along with critical thinking skills that align with our mission and operating principles. We value speed, curiosity, and sound judgment, allowing you to explore data deeply and make informed decisions.Collaboration is key at Airwallex; we need team players who can transform innovative ideas into tangible products. As a Senior Data Scientist, you'll tackle complex challenges, leveraging AI to enhance efficiency and effectiveness in our operations.About Your TeamYour role will involve collaborating closely with Product, Growth, and Commercial teams to enhance our data science capabilities. We are looking for someone who takes ownership from the outset, delving deep into data analysis to uncover the reasons behind shifts in outcomes, while skillfully balancing analytical approaches with business context. You will use AI to convert insights into scalable solutions that drive revenue growth and operational efficiency.

About AirwallexAirwallex stands as the premier unified payments and financial platform designed for global enterprises. Leveraging our distinctive blend of proprietary technology and innovative software, we serve over 200,000 businesses worldwide—including notable companies such as Brex, Rippling, Navan, Qantas, and SHEIN—empowering them with fully integrated solutions to streamline business accounts, payments, spend management, treasury, and embedded finance on a global scale.Founded in Melbourne, we are proud to employ a diverse team of over 2,000 forward-thinking professionals across 26 offices globally. With a valuation of US$8 billion and support from esteemed investors like T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of building the future of global payments and financial solutions. If you’re eager to engage in the most ambitious work of your career, we invite you to join our team.

At Descript, we are on a mission to revolutionize the way audio and video content is created. Our innovative platform has earned the trust of renowned podcasters, influencers, and prestigious organizations like BBC, ESPN, HubSpot, Shopify, and The Washington Post. With $100M in funding from top investors, including the OpenAI Startup Fund, Andreessen Horowitz, Redpoint Ventures, and Spark Capital, we are poised for tremendous growth. We are seeking a proactive and analytical Senior Marketing Data Scientist to join our dynamic Growth team. In this role, you will collaborate with the Performance Marketing team to design and implement a comprehensive measurement framework, optimize marketing performance across the entire funnel, and drive data-informed business strategies. This crucial position will enable Descript to enhance its marketing capabilities across both B2C and B2B sectors. You will leverage AI-driven analytics tools to streamline decision-making processes and deliver scalable predictive insights. This position can be performed remotely within the United States or onsite in the San Francisco Bay Area.

Join SoFi as a Senior Data Scientist in our Credit Strategy team, where you will leverage data-driven insights to enhance our lending strategies and improve customer experiences. You will be responsible for developing advanced analytical models, utilizing machine learning techniques, and collaborating with cross-functional teams to drive data-centric decisions.

Role Overview Zip is hiring a Director of Go-To-Market Strategy and Operations in San Francisco. This leader shapes market strategy, oversees execution, and works with cross-functional teams to drive growth. The position focuses on improving how the company brings products and services to market, with a strong emphasis on operational effectiveness. What You Will Do Collaborate with teams across the business to develop and refine go-to-market strategies Lead growth initiatives from planning through execution Identify and implement ways to improve operational processes Use strategic thinking and leadership skills to support Zip's goals Location This role is based in San Francisco.

About CoreWeave CoreWeave builds cloud infrastructure tailored for AI. Founded in 2017, the company supports AI labs, startups, and global enterprises with high-performance platforms and deep technical expertise. CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. Role Overview The Senior Product Manager - Go-To-Market Strategy joins the IT Business Systems (GTM) team. This group manages the systems behind CoreWeave’s commercial operations, including lead management, contract processing, billing, customer support, and revenue tracking. This role partners closely with Business Operations to guide the GTM systems roadmap. The Senior Product Manager leads requirements gathering and drives delivery for initiatives across Salesforce CRM & CPQ, Service Cloud, billing systems, and their integrations. The work blends strategic product development with the detailed approach of a senior business systems analyst. What You Will Do Co-manage the GTM systems roadmap with Business Operations, handling requirements collection, prioritization, and backlog management for Salesforce (Sales Cloud, Revenue Cloud/CPQ, Service Cloud), billing systems, CLM, marketing automation, and integrations. Serve as the main point of contact between global teams and stakeholders, ensuring alignment and clear communication throughout project lifecycles. Key Initiatives This position leads projects such as M&A integration, billing platform deployment, and improvements to the customer experience. A product-focused mindset, attention to user experience, and accountability for metrics are essential. Locations Roles are available in Livingston, NJ; New York, NY; Sunnyvale, CA; San Francisco, CA; and Bellevue, WA.

Okta secures digital identity for both AI and human users, building infrastructure that helps organizations adapt to new challenges. The company focuses on solving complex problems that have a real impact for its customers. The Pricing Strategy team partners with Product, Finance, Sales, and Operations to define how Okta packages, prices, and monetizes its products worldwide. This group blends strategy with analytics, using market trends and customer data to develop recommendations that influence executive decisions and field execution. Role overview The Principal Data Scientist, Pricing Strategy, reports to the Head of Pricing Strategy. This position leads analytics projects that shape pricing and packaging strategies across Okta’s product portfolio. The role combines quantitative analysis with strategic thinking, developing measurement methods, building and deploying models, and running test-and-learn programs to guide monetization. Collaboration with senior leaders in Product and Go-to-Market teams is essential, turning open-ended questions into actionable insights and scalable plans. What you will do Strategic Pricing Influence: Work with Product, Go-to-Market, and Finance leaders to shape pricing, packaging, and discount strategies using data-driven insights. Advanced Analytics and Modeling: Build and apply models and analytical frameworks to forecast pricing effects, predict customer behavior, and estimate revenue outcomes across regions and segments. Experimentation and Pilots: Design and evaluate pilots and test-and-learn initiatives for new pricing strategies, including defining success metrics and evaluation methods. Deep-Dive Insight Generation: Analyze large, complex datasets to uncover drivers of purchasing, discounting, retention, and monetization performance. Metrics and Dashboards: Develop dashboards and reports that clearly communicate findings to stakeholders. Location This position is based in Bellevue, Washington or San Francisco, California.

SoFi is hiring a Senior Data Scientist to focus on Credit Strategy. This position centers on using analytical expertise to support data-driven decisions that impact both customer experience and business goals. Role overview The Senior Data Scientist works closely with teams across the company to create, refine, and improve credit strategies. Collaboration is key, as the role involves partnering with colleagues from different areas to ensure credit solutions align with SoFi’s objectives. What you will do Design and implement credit strategies that support business outcomes Collaborate with cross-functional teams to optimize credit processes Apply advanced modeling and machine learning techniques to uncover insights Use data analysis to inform and guide strategic initiatives Requirements Strong analytical skills and experience with data-driven problem solving Background in advanced modeling techniques and machine learning Ability to work effectively with teams from multiple disciplines

Join the dynamic Analytics team at DoorDash as a Data Scientist or Senior Data Scientist, where your expertise will directly influence strategic decisions and operational improvements. You will uncover valuable insights from vast datasets, transforming them into actionable recommendations that drive company-wide initiatives. Collaborate with diverse teams in areas like Consumer & Growth, Business Operations, and Customer Experience to elevate our analytics capabilities and impact our business in meaningful ways.

About Us:At Notion, we empower teams to create stunning tools tailored for their unique workflows. In a digital landscape filled with countless applications and tabs, Notion stands out as the singular platform where teams can consolidate their efforts—effortlessly merging documents, notes, projects, calendars, and emails, all enhanced with AI to expedite processes and uncover insights. Our diverse user base, ranging from individuals to giants like Toyota, Figma, and OpenAI, appreciates Notion for its versatility, efficiency, and cost-saving capabilities.Collaboration is at the heart of Notion's culture. To foster this, all team members are required to work from our offices on Mondays, Tuesdays, and Thursdays, which we refer to as Anchor Days. Certain teams may have additional in-office requirements.About The Role:As Notion experiences rapid growth, we are on the lookout for skilled Data Engineers to join our dynamic team. Your role will involve constructing foundational datasets and pipelines that bolster our go-to-market initiatives. You will play a pivotal role in integrating our product and business systems, establishing robust processes that drive our success. If you have a passion for analytics, data modeling, and unraveling intricate data challenges, we would love to have you on board.What You'll Accomplish:Develop core datasets that serve as the authoritative sources for Notion’s marketing and sales reporting, ensuring seamless data flow between business systems and our product.Collaborate closely with our Marketing, Sales, Revenue Operations, Business Technology, Business Intelligence, and Data Science teams to fulfill critical reporting and analysis needs.Design, implement, and oversee pipelines that address current demands while being capable of scaling alongside our expanding data landscape.Promote accessibility to high-quality data across go-to-market teams, staff, and the organization at large.Required Qualifications:Minimum of 3 years of experience as a Data Engineer, focusing on building core datasets and supporting various business verticals, particularly in high-data-volume product and business environments. A strong enthusiasm for analytics, data models, and solving complex data challenges is essential.Proven experience working with Marketing and Sales datasets within a SaaS context, including integrations with business systems such as Salesforce, Netsuite, Marketo, and Zendesk.Self-motivated individual who proactively gathers and synthesizes impactful business needs, designing and implementing effective data solutions.

At Harmonic Security, we empower teams to safely integrate AI tools by ensuring real-time protection of sensitive data with minimal effort. Our solutions provide enterprises with complete control over their data, preventing leaks and fostering a culture of confident innovation.Our leadership is comprised of seasoned cybersecurity professionals, supported by top-tier investors such as N47, Ten Eleven Ventures, and In-Q-Tel.Our Work Philosophy: AI at the CoreHarmonic's mission is to facilitate the safe and scalable adoption of AI by enterprises. We hold ourselves to this standard, with every team member actively utilizing AI tools to enhance their work, from research and writing to process building and workflow automation. We welcome new hires who bring a curiosity about AI and a readiness to harness its potential to work smarter, faster, and more creatively. Whether it's through experimentation with new tools or the development of entirely new systems centered around AI, we are committed to providing clarity and support for each role.Team OverviewIn this role, you will report directly to the VP of GTM Strategy and Operations, collaborating closely with sales leadership, customer success, tech operations, and finance teams. This cross-functional position places you at the nexus of revenue operations and systems engineering, where you will construct clean, automated, and scalable infrastructures pivotal for our representatives, leaders, and board. Your responsibilities will go beyond mere tool configuration; you will be tasked with architecting, integrating, and coding to ensure a seamless operational flow.Role ResponsibilitiesThis position is designed for an innovative builder who is not interested in maintaining existing systems, but rather identifying and resolving inefficiencies within the go-to-market (GTM) processes through AI and automation.You will take ownership of designing and developing systems, automations, and internal tools that enhance the effectiveness of our GTM teams. This encompasses everything from HubSpot architecture and lead routing to the creation of AI-driven agents for research, data enrichment, and meeting preparation. If your instinct is to leverage AI tools like Claude or Clay rather than defaulting to spreadsheets for manual processes, you will excel in this environment.As Harmonic scales its GTM operations, the systems you implement will play a crucial role in shaping our operational landscape for years to come.

Founded in 2007, Airbnb has transformed the travel landscape, growing from a humble start with three guests to a vibrant community of over 5 million hosts welcoming more than 2 billion guests worldwide. Every day, our hosts offer distinct stays and experiences, fostering authentic connections between travelers and local communities.Join Our Collaborative Team:You will be part of a dynamic group of data scientists, analysts, engineers, product managers, and designers dedicated to developing innovative pricing solutions for Airbnb hosts. Your primary team will include data scientists within the Guest & Host Data Science organization, who create models, essential tools, and insights to enhance the Airbnb marketplace for both guests and hosts. Your Impactful Contributions:Play a crucial role in shaping a pricing guidance system for our hosts and employ various methods (both experimental and observational) to evaluate the effectiveness of pricing feature launches. You will spearhead innovative pricing science initiatives, including pioneering 0-to-1 projects that require a blend of scientific rigor and creative business insights. Your most impactful work will involve:Working closely with product and cross-functional teams to develop and implement pricing strategies and guidance for hosts, translating sophisticated modeling into practical recommendations.Creating foundational models and experimental frameworks that balance marketplace supply and demand, using empirical methods to evaluate and enhance pricing feature impacts.Crafting engaging data narratives to reveal actionable insights, empower data-driven decision-making, and steer the future of Airbnb’s pricing ecosystem. A Day in Your Role:Gaining a comprehensive understanding of host perspectives on pricing and their interactions with our application through analysis and research.Building strong relationships with cross-functional partners in Product, Engineering, and Analytics.Coding in Python, SQL, and R to model, simulate, and measure the impact of new pricing features.Diving into data creatively to assess the varying effects of pricing feature launches, converting these insights into clear recommendations.Sharing findings and insights with leadership and partners in a straightforward and impactful manner.

Join Airwallex as a Senior Data Scientist in Algorithms for Financial MarketsAt Airwallex, we are revolutionizing the financial landscape, providing a comprehensive payments and financial platform tailored for global businesses. Our innovative infrastructure and proprietary software empower over 200,000 businesses worldwide, including notable brands like Brex, Rippling, Navan, Qantas, and SHEIN. We offer fully integrated solutions that encompass business accounts, payments, spend management, treasury services, and embedded finance, all on a global scale.Founded in Melbourne, our talented team of over 2,000 innovative professionals operates across 26 offices worldwide. With a valuation of $8 billion and backing from industry-leading investors such as T. Rowe Price, Visa, Mastercard, and Sequoia, we are at the forefront of building the future of global payments. If you are eager to engage in groundbreaking work and make a significant impact, we invite you to join us.What We Look ForWe seek proactive builders with entrepreneurial spirit who are passionate about contributing to our mission and embody our operating principles. You should possess strong expertise relevant to your role, exhibit sharp analytical thinking, and be driven by curiosity. We value individuals who make informed decisions based on core principles, balancing speed with thoroughness.Collaboration and humility are key traits we admire. You should be capable of transforming innovative ideas into tangible products and possess a strong execution mindset. Leveraging AI to enhance efficiency and solve problems swiftly is essential. Here, you will confront complex, high-visibility challenges alongside exceptional colleagues, advancing your career as we shape the future of banking.About Our TeamOur global team extends across Australia, China, the USA, and Singapore, innovating in applied data science, data engineering, and platform solutions to support Airwallex's rapid growth. You will work closely with a diverse array of cross-functional partners, including Product, Engineering, Marketing, Sales, and Finance, to address intricate data challenges and influence the evolution of fintech.Discover more about our data science team in this blog.

Alchemy is seeking a dynamic and visionary Head of Go-To-Market Strategy to spearhead our market entry initiatives and drive growth across multiple regions. As a pivotal member of our leadership team, you will develop and execute comprehensive strategies that align with our business objectives, leveraging data-driven insights to optimize performance.Your role will involve collaborating closely with product, sales, and marketing teams to ensure a unified approach to market challenges. You will be responsible for identifying new market opportunities, establishing strategic partnerships, and enhancing our overall market presence.

Why Join Harvey?At Harvey, we are revolutionizing the landscape of legal and professional services. Our approach is not just incremental; we are redefining the entire process by integrating cutting-edge agentic AI, an enterprise-grade platform, and extensive domain expertise. This transformative journey is set to reshape critical knowledge work for generations.This is a unique opportunity to contribute to a company poised for generational impact at a pivotal moment. With over 1,000 customers across more than 58 countries, strong product-market alignment, and exceptional investor backing, we are rapidly scaling and pioneering a new industry category. The ambitions are grand, the standards are high, and the potential for personal, professional, and financial growth is unparalleled.Our team is composed of highly skilled, passionate individuals dedicated to our mission. We prioritize agility, intensity, and ownership in tackling challenges — from conceptualization to long-term impact. We maintain close relationships with our customers, collaborating across all levels to address real issues with urgency and care. If you excel in dynamic environments, strive for excellence, and wish to influence the future of work alongside driven peers, we welcome you to join our journey.At Harvey, the future of professional services is being crafted today — and we are just beginning.Position OverviewWe are seeking a Senior Data Scientist to deeply integrate with Harvey’s rapidly expanding Go-To-Market (GTM) team and establish our GTM data science capabilities from the ground up. In this role, you will serve as a vital analytical partner to GTM, Marketing, and Finance — defining success metrics, uncovering growth and retention drivers, and guiding strategic investments across the business. As one of the initial hires in GTM data science, you will take ownership of developing essential GTM metrics, scalable dashboards, and analytical frameworks that foster data-driven decision-making.Key ResponsibilitiesCollaborate closely with the GTM team as a trusted advisor, discovering innovative methods to enhance business performance and spur growth.Establish, monitor, and refine core metrics across GTM and related functions, creating scalable dashboards and reporting structures that facilitate data-driven decision-making.Design, implement, and assess statistical models (Logistic Regression, K-Means Clustering) to analyze customer behavior and retention efficacy.Utilize statistical and machine learning approaches to model user behavior, predict trends, and identify avenues for growth and optimization.Translate intricate analyses into actionable insights for stakeholders across the organization.

About the Role Conversion is seeking a Founding Go-To-Market Strategist to help define how we enter and grow in our market. This role sits onsite in our San Francisco office. What You Will Do Work closely with teams across the company to shape our approach to launching products and reaching customers Develop and refine strategies that connect with our target audience Focus on driving steady, long-term revenue growth Who We’re Looking For This role calls for someone eager to build strategies from the earliest stages. Experience collaborating across functions and a strong interest in go-to-market planning are both important.

Role Overview Sigma Computing is looking for a Head of Global Partner Marketing Strategy based in San Francisco, CA. This leadership role bridges the Partner and Marketing teams, working closely with key ecosystem partners. The focus: shape and execute go-to-market strategies that elevate Sigma’s position in the market and turn complex partnerships into clear, actionable plans. The position involves frequent engagement with executive audiences and translating partnership potential into tangible results. The core responsibility is to design and deliver a comprehensive partner marketing strategy, ensuring that Sigma and its strategic partners move forward together with cohesive go-to-market initiatives. What You Will Do Executive Strategy and Ecosystem Intelligence Organizational Alignment: Act as the main marketing contact for partner managers and executives. Lead collaborative sessions to weave Sigma’s value into each partner’s long-term vision. Ecosystem Mapping: Build detailed “Characterization Profiles” for key partners, capturing their internal goals, strengths, weaknesses, and industry priorities. Strategic Tiering: Work with the Partner Team to prioritize and categorize partners. Identify new “White Space” opportunities where Sigma and partners can win together. Conflict Navigation: Analyze the partner ecosystem to spot collaboration opportunities and manage “co-opetition” with thoughtful, strategic messaging. Strategic Positioning and Content High-Level Messaging: Create persuasive “Executive Value Propositions” that position Sigma and its partners as leaders in the market. Strategic Storytelling: Distill the “Partner Angle” from complex customer success stories to demonstrate shared ROI to partner sales and leadership teams. Program Execution and Demand Generation Co-Marketing Campaigns: Partner with Product Marketing and Field Marketing to design and run integrated programs, such as webinars, ebooks, and ABM initiatives, that align with partner roadmaps and Sigma product launches. Event-in-a-Box: Develop ready-to-launch “event-in-a-box” activations for System Integrators, including enablement guides and co-marketing opportunities.

Join the dynamic team at console as a Senior Go-To-Market Recruiter. In this pivotal role, you will lead our efforts in attracting top-tier talent to drive our go-to-market strategies. You will collaborate with cross-functional teams, leveraging your expertise in recruitment to ensure we identify and engage with the best candidates in the market.

About the RoleJoin our dynamic Marketing Innovation team as a Data Scientist, where you will play a pivotal role in developing innovative internal tools and systems that revolutionize our marketing strategies and enhance customer engagement.Our mission is to create product-like systems that:Provide personalized, consultative experiences to millions of SMB customers through intelligent lifecycle and sales interactions.Tailor messaging, creative solutions, and outreach based on real-time behavioral insights.Facilitate intelligent routing, targeting, and engagement at scale, minimizing the need for manual intervention.In this position, you will collaborate closely with Product and Engineering teams to ensure that our systems deliver measurable business value.What You’ll DoEstablish success metrics for marketing systems (e.g., incremental pipeline generated, conversion improvements, efficiency gains), incorporating leading indicators for ongoing refinement.Create measurement and experimentation frameworks for continuous systems across lifecycle automation, creative generation, targeting, and routing, employing methods like holdouts, staged rollouts, and quasi-experimental designs.Collaborate with Product Managers and engineers to track, assess, and analyze system launches, ensuring every significant release is observable and accurately evaluated for incremental impact.Convert behavioral and model-driven insights into strategic decisions: determining what to scale, identifying intervention points, and optimizing resource allocation across segments.Develop repeatable decision-making processes (pre-launch criteria → post-launch evaluation → subsequent actions) that translate analysis into tangible improvements.What We’re Looking ForA minimum of 10 years of experience in a quantitative role (e.g., Data Science, Decision Science), ideally within a product-focused organization fostering B2B growth, with familiarity in SMB or scaled self-service models.Strong foundation in experimentation, causal inference, and applied statistics, with a track record of designing and interpreting tests in real-world, always-on environments.Proficient in SQL and Python, with the ability to work with complex, incomplete behavioral datasets to assess impact.Demonstrated success in translating findings into impactful decisions (product development, lifecycle management, targeting, routing).Excellent communication skills to convey complex data insights to diverse audiences and stakeholders.