GTM Engineer

Join Gusto as a GTM Analytics Engineer and play a pivotal role in driving our analytics initiatives. As a part of our team, you will develop and maintain robust analytics frameworks that empower data-driven decision-making within our go-to-market strategies. You will collaborate closely with cross-functional teams to ensure the accuracy and accessibility of data, while also identifying opportunities for continuous improvement.

Join DoorDash's Go-To-Market Technology (GTMT) team as an Analytics Engineer, where you will harness data to fuel our rapid growth. You will create innovative solutions that streamline business processes and enhance the productivity of our GTM teams. In this role, you will dive deep into data analytics, build scalable tools, and transform insights into actionable strategies that drive business success. Collaborating with cross-functional teams, you will automate workflows, ensure data integrity, and leverage AI capabilities to elevate our data infrastructure.

About UsAt Shepherd, we are revolutionizing the landscape of commercial Property & Casualty insurance for high-hazard industries through cutting-edge technology. Our goal is to streamline risk management for those who are pivotal in shaping the physical world, providing protection from the initial concept to the operational phase that spans decades.We are developing the most advanced commercial risk platform where automation, data, and underwriting expertise converge to deliver:Accelerated decision-makingMore accurate and intelligent pricingEnhanced risk management outcomesWith Shepherd, we ensure that safety, speed, and quality work in unison, creating synergies instead of trade-offs. We are not merely updating insurance products; we are laying the groundwork for the future of financial services where technology, underwriting practices, and partnerships harmoniously support vital industries and their progressive endeavors.Our InvestorsShepherd has successfully raised over $20M from prestigious investors including:Spark CapitalCostanoa VenturesY CombinatorSusa VenturesIntact VenturesAnd many more...Our TeamWe are a dynamic group of technology enthusiasts and insurance experts, united to bridge these two vital fields. For more information, visit our About Us page.The RolePosition OverviewAs our GTM Analytics & Strategy Specialist, you will be instrumental in driving the growth and scalability of Shepherd. You will analyze diverse datasets and systems across GTM, underwriting, product development, and operations to extract insights that guide our strategic decisions, implementation, and resource management.

Join LinkedIn as a Tech Lead in our Go-To-Market (GTM) Applied AI and Analytics team! In this pivotal role, you will harness your technical expertise and leadership skills to drive innovative solutions that enhance our analytics capabilities and improve customer engagement. You will collaborate with cross-functional teams to design and implement AI-driven analytics tools that empower our clients to make data-informed decisions.

HUD builds infrastructure for reinforcement learning training data and evaluations, supporting advanced AI agents. The company is also developing a marketplace for labs to buy and sell these resources. HUD's platform serves a wide range of customers, including AI labs, Fortune 500 companies, and startups. Backed by $15 million from leading venture capital firms, HUD is a Y Combinator W25 graduate. Role overview The GTM Engineer at HUD plays a key role in identifying and connecting with technical decision-makers. This position focuses on engaging machine learning engineers, AI researchers, and technical leaders at major labs and enterprises. Success in this role depends on genuine understanding of technical challenges, not just delivering standard sales pitches. This role suits someone who enjoys technical discussions and can move deals forward efficiently. HUD values individuals who want to help shape the go-to-market approach, not just follow existing sales processes. What you will do Manage the outbound sales pipeline from targeting and data enrichment to outreach, follow-ups, and scheduling meetings. Build and maintain go-to-market workflows, including outbound email sequences, CRM automation, lead scoring, custom tools, and inbound lead qualification. Use AI tools to automate workflows, scrape code, or build internal tools to increase productivity. Develop and refine messaging for technical stakeholders, such as ML engineers, AI researchers, and engineering leaders. Quickly research new prospects and industries, understanding their pain points and workflows, and where HUD fits in. Track pipeline metrics and work to improve conversion rates at every stage. Collaborate closely with the founders to shape and iterate on HUD's go-to-market strategy as the company grows. Requirements Proven ability to create and execute a go-to-market strategy with measurable results. Strong record of closing deals. Background in Computer Science or Engineering, or significant hands-on coding experience. Deep knowledge of GTM tools and software. Excellent written communication skills, especially for technical audiences. Experience in early-stage technology startups and comfort with change. Location San Francisco

At Netic, we are revolutionizing the essential services sector by harnessing the power of AI. Our technology serves as the backbone of the American economy, empowering businesses to streamline operations and enhance revenue generation.With an impressive $43 million in funding from notable investors such as Founders Fund, Greylock, Hanabi, and Dylan Field, who led our Series B, we have significantly increased our customers' ability to book jobs across various service industries in North America. Many companies now operate on an AI-first model using Netic.Joining our team means collaborating with a diverse group of innovators from top-tier organizations including Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard. Together, we are integrating cutting-edge AI solutions into the physical economy, tackling complex challenges with immediate and measurable impact.About the RoleWe are in search of a talented GTM Engineer who will set a benchmark for our data and systems utilization. Your role will focus on building our GTM engine while also assisting our customers in developing their own.As we lay the groundwork for the most effective GTM engine in the tech industry, you will engage in tasks such as defining the total addressable market (TAM), tracking relevant signals, selecting the appropriate tools for acquisition or development, and creating an environment where marketers and sales professionals can leverage AI effectively.This role presents an exceptional opportunity for ambitious GTM Engineers passionate about crafting sophisticated systems that drive significant revenue growth. If you are interested, please send a brief video showcasing something you've built to noah@netic.ai.

Role Overview simple-ai is hiring a GTM Engineer in San Francisco. This position shapes how our products reach customers and how we deliver value in the market. The role blends technical development with hands-on collaboration across different teams. What You Will Do Develop and integrate solutions that expand and improve our product lineup Work closely with colleagues from multiple departments to align on go-to-market strategies Help drive customer satisfaction by ensuring our offerings meet real user needs What We Look For Technical expertise relevant to building and integrating product solutions Strong collaboration skills, especially when working with cross-functional teams Ability to support the company’s vision and business goals through hands-on execution

Weave is focused on improving how therapeutic knowledge is managed and shared throughout the drug development process. The company’s platform integrates AI into regulatory workflows, aiming to help experts deliver new drugs more efficiently and safely. By working closely with clients, Weave is building an AI workbench designed for every stage of the therapeutic lifecycle. Role overview The GTM Engineer will join the San Francisco Bay Area team to build a lead generation engine from the ground up. This position sits within the Marketing team and collaborates closely with Revenue Operations to connect marketing efforts with the sales pipeline. The role offers the chance to create new systems and processes without legacy limitations, giving full ownership over the approach and execution. What you will do Design and build lead generation infrastructure, including workflows, tools, and automation logic. Use AI tools to source, enrich, and qualify leads at scale, with an emphasis on warm, network-driven outreach. Work directly with Account Executives to define the characteristics of a qualified lead and align efforts with sales objectives. Collaboration This role works closely with both Marketing and RevOps, ensuring smooth integration of new lead generation systems into the sales process. There are no inherited systems or outdated practices to manage; the GTM Engineer will shape the foundation for future growth.

Join Databricks as a Senior Analytics Engineer specializing in Go-To-Market (GTM) Strategy and Operations. In this pivotal role, you'll leverage your analytical expertise to empower our marketing and sales teams, enabling data-driven decisions that drive growth and enhance customer engagement.You will be responsible for developing insightful dashboards, conducting deep-dive analyses, and designing metrics to measure success across our go-to-market strategies. Your insights will guide our teams in optimizing performance and achieving strategic objectives.

Are you a talented GTM Engineer looking to make a significant impact in a dynamic environment? At Scribe, we pride ourselves on being a leader in innovative solutions that help businesses thrive. Join us in San Francisco to leverage your skills in go-to-market strategies and engineering to drive our next phase of growth.

Role Overview Plaud is hiring a GTM Engineer & Operations in San Francisco, CA. This role focuses on improving go-to-market strategies and strengthening operational efficiency as the company grows. What You Will Do Work with teams across the company to design and implement streamlined processes Analyze market trends to inform business decisions Refine operational frameworks to support scaling efforts Who We're Looking For Experience collaborating with multiple departments Strong interest in optimizing operations and driving growth Comfort working in a scaling company This position is based in San Francisco, CA.

Note: We are recruiting on behalf of our valued client. This opportunity is for a position with their organization, not with People Culture Talent. We're excited to help connect talented professionals with this exceptional team!The RoleArena Intelligence, a pioneering open AI evaluation platform, is transforming how the world's most advanced AI labs assess model performance. We are on the lookout for a GTM Engineer to construct and scale the systems, workflows, and technical go-to-market (GTM) strategies that drive our growth throughout the AI landscape.This dynamic, hybrid role sits at the crossroads of go-to-market strategy, technical execution, and business development. You will collaborate closely with Business Development leadership, Product teams, and Model Labs to craft and implement scalable GTM strategies that facilitate both internal infrastructure development and external collaborations with leading AI labs.Your role will serve as the essential link between technical product capabilities and revenue generation, enhancing the efficiency of outbound and inbound systems, elevating pipeline quality, and nurturing high-value relationships with frontier model labs.

About Our TeamThe Go-To-Market (GTM) Innovation team at OpenAI is a dynamic and innovative group dedicated to transforming customer engagement through cutting-edge applications of our advanced technology. As a key internal incubator, we enhance the effectiveness of Sales, Technical Success, Enablement, and Revenue Operations by deploying our technology at scale. Our mission is to reshape customer interactions, leverage learnings from every engagement, and discover unique ways to illustrate the value of OpenAI's offerings.About the RoleWe are on the lookout for product-oriented software engineers to join our GTM Innovation team. In this pivotal role, you will collaborate closely with go-to-market teams to gain insights into their workflows, pinpoint opportunities for improvement, and develop innovative solutions utilizing OpenAI's API platform.Your responsibilities will span from rapid prototyping to production deployment, directly influencing customer interactions with our technology in real-world settings. This role is perfect for engineers eager to engage with users, take ownership of end-to-end outcomes, and contribute to defining new categories of enterprise software.Key Responsibilities:Develop impactful applications and tools that enhance OpenAI’s go-to-market capabilities.Manage the full product lifecycle for GTM: from prototyping and iteration to shipping and maintenance.Collaborate with Sales, Technical Success, and Revenue Operations to identify and address user needs.Utilize OpenAI’s models creatively to tackle real-world customer and internal workflow challenges.Translate insights into actionable feedback for Applied and Research teams to guide product evolution.Qualifications:4+ years of experience as a software engineer, particularly in user-facing systems.Experience as a founder or an early engineer in a startup environment where you built a product from the ground up is a significant advantage.Proficiency in Python or JavaScript, with experience in building full-stack applications.Experience in developing or prototyping LLM-powered workflows using the OpenAI API or similar technologies.A proactive approach, a sense of urgency, and a strong sense of ownership in your work.A passion for building impactful software and a desire to be close to end-users.

Role overview retell-ai seeks a Senior Software Engineer in the San Francisco Bay Area to focus on Go-To-Market (GTM) projects. This engineer will help shape how new products are created and introduced to customers, directly influencing the company’s approach to launching and scaling offerings. What you will do Collaborate with teams across the organization to translate business needs into software that advances GTM objectives. Develop and improve products to ensure they fit seamlessly into the market. Uphold high standards for code quality and system performance as products grow and change. Collaboration This position works closely with product, business, and engineering partners to deliver solutions that address both technical and market demands.

Zyphra is a cutting-edge artificial intelligence firm located in the vibrant city of San Francisco, California.The Role:In the position of GTM Engineer, you will play a pivotal role within Zyphra's Go-To-Market (GTM) team, tasked with the design, deployment, and ongoing enhancement of AI-driven systems that fuel our market strategy. This is not your typical sales, sales operations, or revenue operations position. You will leverage your extensive GTM domain knowledge and hands-on expertise with modern AI technologies to create infrastructure that delivers sustainable commercial advantages.Ideal candidates will have extensive experience in GTM activities, including outbound strategy, customer segmentation, messaging, and business development, along with a proven track record of developing practical applications using AI tools. You possess the insight to identify areas of manual labor and the skills to automate them effectively.Your Responsibilities Will Include:Creating and implementing comprehensive AI-powered GTM workflows that encompass prospecting, outreach, enrichment, qualification, and pipeline management.Developing and maintaining the GTM technology stack, utilizing tools such as Clay, n8n, HubSpot, and custom integrations, while architecting the systems that interconnect them.Crafting and refining customer segmentation models, Ideal Customer Profile (ICP) scoring frameworks, and signal-based targeting systems with the aid of enrichment data and AI.Rapidly prototyping new GTM initiatives, conducting structured experiments with actual pipeline data, and scaling successful strategies.Employing Claude Code, Cursor, and other AI coding tools to develop custom automations, scripts, and lightweight applications designed to enhance GTM efficiency.Collaborating with sales, marketing, and business development teams to transform business requirements into automated processes while measuring the subsequent revenue impact.Exploring new opportunities for AI applications within GTM functions, staying at the forefront of advancements and experimenting with innovations before they become mainstream.Establishing communication processes, messaging frameworks, outreach sequences, and content systems that can be personalized at scale through AI.Qualifications We Seek:A minimum of 3–5 years of direct experience in B2B go-to-market roles, including business development, sales operations, growth, or revenue operations, with hands-on familiarity in customer segmentation, targeting, outbound strategy, and pipeline development.In-depth, practical experience with a variety of AI tools and technologies.Strong analytical skills with the ability to interpret data and make data-driven decisions.

Role Overview hilberts is hiring a GTM Engineer / RevOps Lead in San Francisco. This role focuses on improving go-to-market strategies and revenue operations. The position works closely with teams across the company to refine processes and increase efficiency, supporting hilberts' growth goals. What You Will Do Collaborate with colleagues from different departments to streamline workflows Identify and implement process improvements that support revenue operations Apply technical skills and strategic thinking to help shape how hilberts operates Support company objectives by driving operational efficiency Location This position is based in San Francisco.

About RoxAt Rox, we empower individuals to excel in their endeavors.Our innovative platform enhances sales performance through autonomous revenue agents, allowing sellers to concentrate on their core strengths: selling. Just as coding agents revolutionized engineering, revenue agents transform customer interactions.We are pioneering the revenue stack by creating the world's first revenue operating system, integrating the application layer with contextual systems. With Rox, humans evolve into orchestrators while agents handle the complete customer lifecycle.Rox serves Global 2000 leaders across various industries, including banking, hardware, construction, and sovereign AI, while also supporting AI frontrunners like Ramp and Cognition.This success is anchored by a shared mission and an unyielding commitment to making it a reality.The TeamOur world-class team is the backbone of our efforts to redefine business operations.Team members boast:Successful company founders and exitsFormer leaders at Google, AWS, Confluent, and New RelicGold medalists from IMO and IOIAuthors of groundbreaking papersWe are proud to be backed by top investors, having secured $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft exceptional experiences.Every detail matters. We are dedicated to ensuring that every interaction facilitates the seller's tasks while also enhancing their experience. We strive for perfection and are relentless in our pursuit of improvement.Obsession: Commit wholeheartedly.We are proactive in delivering value, anticipating customer needs before they arise. We continuously learn and refine our skills to elevate our craft and our products.Action: Deliver results.We believe that execution is key. Our approach emphasizes swift yet thoughtful decision-making, ensuring we build trust through reliable delivery.

About RevicAt Revic, we understand that exceptional sales professionals are crucial to business success. They foster connections, comprehend client needs, and close deals that drive growth. Unfortunately, many find themselves bogged down by administrative tasks and disjointed tools, detracting from their primary focus—selling.We believe salespeople deserve superior technology that empowers them rather than hinders their performance.Revic is an AI-driven sales acceleration platform designed to elevate the performance of sales teams. We simplify the complexities of data analysis, opportunity identification, and workflow activation, allowing sales representatives to concentrate on building relationships and engaging conversations that truly matter.Our advanced platform learns what works best, identifies target audiences, and equips representatives with the insights necessary to operate with confidence and precision. By removing barriers, we enhance their innate selling abilities.Sales will always be a human endeavor, and Revic is dedicated to ensuring it remains so—by enabling AI to manage the intricacies.Why This Role ExistsThe Founding GTM AI Engineer role is pivotal in transforming go-to-market signals into actionable company-wide initiatives.In this role, you will collaborate directly with Revic’s CEO, Head of Revenue, and Head of Engineering to create systems that convert genuine customer interactions and GTM data into automated organizational actions.You will be at the heart of Revic’s operational framework, ensuring insights derived from our platform are utilized effectively, driving real-time actions across GTM, product development, and engineering teams.This foundational role carries significant impact, as the systems you develop will shape decision-making processes, influence team priorities, and facilitate the growth and learning of Revic.What You’ll DoDevelop Intelligence-Driven Systems:Collaborate closely with the CEO, Head of Revenue, and Head of Engineering to pinpoint high-impact opportunities for AI-driven automation.Design systems for continuous analysis of Revic data, call recordings, and customer interactions.Convert insights into automated workflows that span the entire organization.Automate GTM Actions:Leverage Revic data and conversations to dynamically refresh both outbound and inbound messaging.Produce GTM content, including blogs, LinkedIn posts, and enablement materials, using authentic customer language.

About Our TeamThe GTM (Go-To-Market) Innovation team is a dynamic and innovative group dedicated to transforming customer engagement through cutting-edge applications of our technology. As a vital internal incubator, we enhance the effectiveness of Sales, Technical Success, Enablement, and Revenue Operations by deploying our technology on a large scale. Our mission is to enrich real-world interactions by reshaping customer conversations, learning from each exchange, and discovering new ways to demonstrate the value of our technology.About the RoleWe are seeking talented backend software engineers with a product-oriented mindset to join our GTM Innovation team. In this role, you will play a crucial part in helping OpenAI engage with the world at scale. You will collaborate closely with go-to-market teams to understand their workflows, identify opportunities for improvement, and develop innovative solutions utilizing OpenAI’s API platform.Your agility in moving from prototype to production will be essential, as your contributions will directly influence how customers interact with our technology in real-world settings. This role is perfect for engineers looking to engage directly with users, take ownership of end-to-end outcomes, and pioneer new categories of enterprise software.Key Responsibilities:Develop impactful applications and tools that drive OpenAI’s go-to-market initiatives.Oversee the entire product lifecycle for GTM: prototype, iterate, deploy, and maintain.Collaborate closely with Sales, Technical Success, and Revenue Operations to identify user needs and create tailored solutions.Utilize OpenAI’s models in innovative ways to address real-world customer and internal workflow challenges.Convert insights gained from user interactions into actionable feedback for our Applied and Research teams to guide product development.Qualifications:A minimum of 4 years of experience as a software/ML/product engineer working on user-facing systems.Experience as a founder or early engineer at a startup who has built a product from the ground up is highly desirable.Proficiency in Python or JavaScript and a strong capability in building full-stack applications.Experience building or prototyping LLM-powered workflows using the OpenAI API (or similar technologies).Demonstrated initiative, quick decision-making, and a profound sense of ownership.A passion for collaborating closely with end users to deliver exceptional solutions.