GTM Engineer at Zyphra | San Francisco

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.

Zyphra is a cutting-edge artificial intelligence company located in the vibrant city of San Francisco, California, dedicated to pushing the boundaries of AI technology.The Role:As our Principal Solutions Architect, you will establish yourself as the foremost technical authority during all partner and customer interactions involving Zyphra’s extensive AI model portfolio and innovative AI agents. Your role will involve articulating the technical advantages and unique features of Zyphra’s offerings, guiding partners and customers from the initial assessment phase through a seamless integration process, and representing our research initiatives. This is not a mere support role; you will drive the entire technical go-to-market (GTM) strategy, crafting compelling narratives, nurturing strategic partnerships, and facilitating successful commercial outcomes.Moreover, you will play a pivotal role in providing valuable insights from partners and customers that will inform Zyphra’s research and product development roadmap. Ideal candidates will possess a research mindset, communicate with the clarity of an industry expert, and have the credibility to engage effectively with both technical and executive-level discussions.Your Responsibilities Include:Acting as the primary technical advisor to strategic partners and customers across Zyphra’s full AI model portfolio, which includes language, vision, audio, brain-computer interfaces, and agentic systems from the initial discovery phase through deployment and expansion.Crafting and delivering engaging technical narratives, demonstrations, and evaluation frameworks that highlight the distinctions of each Zyphra model to diverse audiences, including research teams, engineers, executives, and business decision-makers.Leading technical discovery discussions with partners and customers to thoroughly understand their needs, use cases, and integration prerequisites, and converting those insights into actionable plans.Spearheading the development of strategic partnerships and customer conversion, managing the technical relationship throughout the entire commercial lifecycle.Aggregating partner and customer insights into emerging use cases, identifying unmet needs, deployment trends, and competitive signals, and delivering constructive feedback that directly impacts Zyphra’s research and product focus.Creating and maintaining a repository of reusable technical resources, including model evaluation frameworks, fine-tuning guides, deployment architectures, API integration playbooks, and use-case demonstrations to expedite the adoption of Zyphra’s models by partners and customers.Representing Zyphra at industry conferences, technical workshops, academic forums, and partner events to enhance our credibility and thought leadership in the AI sector.

Zyphra - Pioneering Artificial Intelligence SolutionsLocated in the heart of San Francisco, California, Zyphra is a cutting-edge artificial intelligence company dedicated to developing innovative solutions that transform industries.About the Role:As the Developer Relations Lead, you will take charge of nurturing and expanding the developer community surrounding Zyphra's open-source models and our AI agent, Maia. You will serve as the primary ambassador of Zyphra to the global developer ecosystem, enhancing our presence on platforms like GitHub, Discord, and X, as well as at key industry events. This role requires a blend of technical expertise and community engagement; you will be the trusted figure that developers look to for guidance and collaboration.With an emerging community already forming around our models, your mission is to identify, accelerate, and organize this community, establishing it as one of the most vibrant open-source AI communities in the industry. You will play a pivotal role on our Go-To-Market (GTM) team, collaborating closely with our research, engineering, and product teams to align our developer initiatives with our overall business strategy.Your Responsibilities Will Include:Leading the development and growth of Zyphra’s developer community across all public channels, including Discord, GitHub, and Hugging Face, while enhancing our brand visibility on X, LinkedIn, and other technical platforms.Representing Zyphra at major AI conferences, developer summits, open-source events, academic forums, and community meetups, where you will speak, demo, and forge relationships that broaden our influence and credibility.Tracking and driving GitHub adoption metrics across our open-source repositories, focusing on stars, forks, issues, pull requests, and active contributor engagement to measure community health.Serving as the primary conduit for feedback between our developer community and the research and product teams, synthesizing insights on developer experiences and obstacles to identify opportunities for enhanced adoption.Creating and implementing a community growth strategy that transforms each model release into sustained developer engagement through launch activities, contributor programs, ambassador networks, and structured onboarding for newcomers.Promoting API consumption and model utilization, ensuring developers understand the unique capabilities of Zyphra’s models and agent, and how to onboard effectively.Generating and curating essential technical content for the community, such as integration guides, benchmark comparisons, use-case demos, and deployment walkthroughs.

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.

Join Rockstar, a trailblazer in agentic AI solutions for enterprise accounting, dedicated to achieving SOX-compliant, real-time financial closures. Our founders bring valuable insights from managing finance teams at leading tech firms, coupled with expertise in developing essential financial systems for industry giants. This well-funded, venture-backed startup boasts top-tier investors and financial executives from prestigious technology companies.Role OverviewWe are on the lookout for a GTM Engineer who will architect and manage the infrastructure that propels our go-to-market strategy. This position transcends traditional growth marketing or demand generation roles.The successful candidate will not engage in campaign management or channel optimization. Instead, they will focus on constructing a cohesive, system-level GTM engine that encompasses:Identifying target accountsDetecting buying signalsEnhancing and organizing dataInitiating timely actionsDriving continuous conversion improvement through experimentationThis role operates at the nexus of growth, RevOps, and data engineering, with the individual acting as the steward of pipeline generation.Key ResponsibilitiesTAM Mapping and Targeting Strategy: Establish and uphold the addressable account universe. Develop ICP models, account scoring frameworks, and segmentation logic to ensure GTM activities target the highest-fit, highest-intent accounts.Signal Detection and Intent Monitoring: Create systems to capture first-party, second-party, and third-party signals throughout the TAM. Recognize buying triggers such as job transitions, hiring trends, engagement levels, website activities, partner referrals, and lookalike behaviors, then operationalize these insights into timely GTM actions.Account-Based GTM Infrastructure: Design and build the foundational infrastructure for account-based motions, including targeting workflows, enrichment pipelines, trigger-based prospecting systems, and lifecycle automations that bolster a sales-led GTM model.Systematic Pipeline Generation: Develop scalable outbound and pipeline generation systems from the ground up: enrichment logic, signal-triggered campaigns, AI-assisted personalization, routing logic, and human review checkpoints, all converging to produce a qualified pipeline.Tiered GTM Workflows: Create differentiated workflows for Tier 1, Tier 2, and Tier 3 accounts. Construct systems that facilitate deeper personalization and multi-threading for priority accounts, while enabling efficient automation and scaled outreach across the broader account base.Outbound Infrastructure: Own the technical backbone of outbound activities, from account research and enrichment to prospecting logic, sequencing infrastructure, and workflow automation.Lifecycle Automation: Develop comprehensive lifecycle systems that interconnect signals, account stages, outreach strategies, and more.

Join Zyphra as a Research Engineer specializing in AI Performance and Kernel Optimization. In this role, you will work at the forefront of AI technologies, developing and optimizing kernel solutions that enhance the performance of our systems. You will collaborate with cross-functional teams, leveraging your expertise to drive innovation and efficiency.

Zyphra is a pioneering artificial intelligence company located in the heart of San Francisco, California, dedicated to pushing the boundaries of technology.The Role:As a Fullstack Engineer, you will play an essential role in advancing Zyphra’s Agentic Systems and Interaction initiatives. You will be at the cutting edge of developing a state-of-the-art desktop and browser-based agent capable of autonomously navigating the web, interacting with file systems, and accomplishing intricate user tasks. Your work will encompass frontend interfaces, secure sandbox environments, large-scale document search and retrieval, and integration of language and vision models. We welcome all candidates to apply, even if they don't meet every requirement.You’ll work across:Designing and implementing diverse agentic system architectures that facilitate interaction with browsers, operating systems, enterprise file systems, and collaboration tools.Creating search and retrieval pipelines for large-scale structured and unstructured data.Developing backend layers for Retrieval-Augmented Generation (RAG) systems and other information context management systems essential for agent operations.Integrating large language models (LLMs), vision models, reinforcement learning, and scaffolding frameworks to enable autonomous, multi-step decision-making.Engineering secure virtualized runtimes and backend services for the execution of agents.Most importantly, your passion for building production-grade software is what we value.We appreciate velocity and curiosity, especially in dynamic and ambiguous settings.Requirements:Strong proficiency in Python with extensive experience in building and debugging complex end-to-end applications.Background in SaaS environments, production workloads, web interfaces, databases, search engines, and queuing systems.Experience in developing browser extensions or automation tools with detailed control over browser interactions (mouse, tabs, DOM).Familiarity with LLMs, prompting techniques, and orchestration frameworks for multi-step reasoning.Capability to work across the entire stack, from web interfaces to control planes and data infrastructure, including queuing systems, databases, and search indexes.Experience in designing or working with secure and virtualized execution environments.A proactive mindset and a strong desire to innovate are essential.

Join Giga as a GTM EngineerGiga is at the forefront of revolutionizing customer experience with our cutting-edge real-time AI agents. Having recently secured $61 million in Series A funding, we are proud to partner with notable clients like DoorDash, as we endeavor to redefine enterprise automation with our advanced voice superintelligence.This is a pivotal moment in our journey. Our aspirations extend beyond our current achievements, aiming to establish ourselves as the premier AI platform for enterprise solutions. To realize this vision, we are on the lookout for talented engineers who can contribute to our mission.Our engineers play a crucial role, impacting millions daily, with the autonomy to drive meaningful change. With visionary founders and a clear trajectory towards becoming a generational company, we invite you to be part of our exciting journey. Here are some highlights about us:Voice AI startup Giga raises $61M Series ADoorDash and Giga PartnershipGiga’s AI agents are trusted by leading B2C companies globally. Industry giants like DoorDash depend on Giga to streamline their most complex support and operations workflows across various platforms. If this vision resonates with you, we encourage you to apply!

Slash Financial creates tailored financial infrastructure for businesses in a variety of sectors. The company blends the reliability of traditional banking with high yields, strong rewards, and security, while offering features that help clients operate more efficiently and profitably. Founded in 2021, Slash Financial processes over $10 billion in business transactions each year. The company recently secured $100 million in Series C funding led by Ribbit Capital, with additional backing from Khosla Ventures, Goodwater Capital, NEA, and Y Combinator. This investment supports ongoing product development and expansion into new markets. Headquartered in San Francisco, the team emphasizes in-person collaboration at the office. Role overview The GTM Engineer will join a group dedicated to building a financial platform for complex, global businesses. This position involves close work with customers and the sales team, contributing at every stage from initial discovery to implementation and ongoing support. Direct client interaction is a key part of this job. Insights gathered from these engagements shape solutions and help transform custom work into platform features that serve thousands of businesses. This is a hands-on, customer-facing position. GTM Engineers write code, tackle technical challenges, and take responsibility for outcomes. Location This position is based onsite at the San Francisco office.

Zyphra is a cutting-edge artificial intelligence company located in the heart of San Francisco, California.About the Position:As our Lead Frontend Engineer - Agentic Interfaces, you will spearhead the design and development of the user-facing elements of our agentic systems. Your expertise will shape the way users engage with AI technology across various platforms, including desktop applications and web browsers. You will collaborate closely with engineers, machine learning researchers, and backend teams to create user experiences that are not only functional but also intuitively accessible.Your Responsibilities Include:Crafting and developing user interfaces for both browser and desktop applicationsCreating and maintaining comprehensive component libraries and styling systemsAnalyzing user interactions and refining user flows based on feedback and usage dataPrototyping and implementing UI features in conjunction with machine learning and backend teamsSimplifying the complexities of AI products to ensure they are accessible and empowering for a diverse user baseQualifications:Proficient in frontend technologies, with a strong command of HTML, CSS, and JavaScript/TypeScriptHands-on experience with modern frameworks, particularly ReactA keen eye for UI detail and usability, maintaining a user-centric approachAbility to rapidly prototype and iterate designs using tools like FigmaExperience in designing responsive, accessible, and high-performance user interfacesStrong understanding of human-computer interaction principles, accessibility, and visual designExcellent communication and collaboration skills to work effectively with engineers, designers, and researchersPreferred Qualifications:Experience in designing or developing browser extensions or desktop applications (e.g., Electron, Tauri)Familiarity with mobile platforms and responsive design is a plusPrior involvement in products featuring complex workflows, automation, or agentic behaviorsInterest or experience in backend development, APIs, or AI systems

About Ironclad Ironclad is an AI contracting platform that helps organizations turn agreements into valuable assets. The platform streamlines contract processing, delivers instant insights, and enables proactive workflows, all while giving users control over their processes. Companies such as Rivian, the World Health Organization, and the Associated Press use Ironclad to improve their operations. Ironclad has received recognition in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management. The company is named a Fortune Great Place to Work and features in Fast Company’s Most Innovative Workplaces. Ironclad also appears in Forbes’ AI 50 and Business Insider’s Companies to Bet Your Career On. Investors include Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. Learn more at www.ironcladapp.com. Role Overview: GTM Engineer, Marketing Ironclad seeks a GTM Engineer, Marketing to join the GTM AI & Systems team in San Francisco. This role partners with Marketing and Strategy to replace manual marketing tasks with intelligent, autonomous systems that drive pipeline, revenue, and company growth. What You Will Do Design and build AI agents to manage marketing workflows, including content creation, campaign execution, audience targeting, and competitive analysis. Develop foundational infrastructure for the marketing team to operate more efficiently and intelligently at scale. Collaborate with cross-functional teams to identify opportunities for automation and smarter processes. Who We’re Looking For Experience with AI tools and a strong interest in applying AI to real-world marketing challenges. Ability to create systems that go beyond configuring existing tools, focusing on scalable, foundational solutions. Comfort working in a collaborative, innovative environment. Location San Francisco

Zyphra is a cutting-edge artificial intelligence firm located in the heart of San Francisco, California.The Opportunity:As a Product Infrastructure Engineer specializing in Site Reliability, your primary focus will be on architecting and sustaining the frameworks that ensure Zyphra's infrastructure remains strong, observable, secure, and scalable. Your contributions will be pivotal in guaranteeing the dependability and reproducibility of machine learning workloads, managing deployment safety, and ensuring the long-term viability of our computational environments.Your Responsibilities:Enhancing and developing observability systems (monitoring, logging, alerting)Creating resilient build and deployment systems across both research and production settingsEstablishing secure release protocols with comprehensive audit trails and rollback capabilitiesCollaborating closely with ML engineers, DevOps, and infrastructure teams to optimize system reliability and performanceLeading incident response efforts, conducting root-cause analysis, and facilitating postmortems with a strong emphasis on learning and preventionThis position is perfect for individuals who are passionate about creating systems that empower other teams to be faster, safer, and more efficient.Qualifications:Proven experience in high-performance computing environments, such as machine learning clusters or GPU farmsStrong background in infrastructure as code tools (e.g., Ansible, Terraform)Familiarity with software release engineering tailored for ML/AI systems is advantageousExperience in designing reliable environments for experimental workloads and reproducible executionsUnderstanding of compliance and auditing standards related to deployment and system securityExperience with load testing, fault injection, and chaos engineering to strengthen systems under pressureA passion for developing tools that render infrastructure seamless and reliable for end usersPreferred Qualifications:Experience with infrastructure as code (e.g., Ansible, Terraform)Previous experience supporting ML/AI infrastructure, including GPU management and workload optimizationExposure to backend development for ML model serving (e.g., vLLM, Ray, SGLang)

Zyphra is a pioneering artificial intelligence company located in Palo Alto, California, committed to revolutionizing the way humans interact with technology.About the Position:As a Machine Learning Engineer at Zyphra, you will play a vital role in advancing our Agentic Systems and Interaction initiatives. You will lead the development of a cutting-edge desktop and browser-based agent designed to autonomously navigate the web, manage filesystem interactions, and execute intricate user tasks. Your responsibilities will encompass frontend interface development, secure sandbox environments, large-scale document search and retrieval, and the integration of language and vision models.Your Contributions Will Include:Crafting and implementing an advanced agentic system capable of seamless interactions with browsers, operating systems, and enterprise filesystems.Developing robust search and retrieval pipelines for expansive structured and unstructured datasets.Integrating large language models (LLMs), vision models, reinforcement learning, and scaffolding frameworks to facilitate autonomous, multi-step decision-making.Engineering secure virtualized runtimes and backend services for agent execution.Demonstrating a strong commitment to building production-grade ML systems that redefine the capabilities of software agents.Embracing velocity and curiosity, particularly in dynamic and ambiguous settings.Qualifications:Expertise in Python and proficiency in building and debugging complex machine learning applications.Hands-on experience with desktop operating systems (Windows and macOS), including APIs for screen reading, file manipulation, and accessibility frameworks.Proven track record in developing browser extensions or automation tools with precise control over browser functionalities (mouse interactions, tabs, DOM manipulation).Solid understanding of large language models (LLMs), prompting strategies, and orchestration frameworks for multi-step reasoning.Capability to navigate the entire ML stack, from model integration to serving infrastructure.Experience in designing or working with secure and virtualized execution environments.Exceptional communication and collaboration skills across product, research, and engineering teams.Preferred Qualifications:Experience in building or integrating retrieval systems.

Join our innovative team at Zyphra as a Research Engineer specializing in Brain-Computer Interface (BCI) Models. In this pivotal role, you will contribute to groundbreaking research and development initiatives in the field of neuroscience and artificial intelligence. Your expertise will help shape the future of communication between humans and machines, enhancing the quality of life for countless individuals.As a Research Engineer, you will be responsible for designing, implementing, and testing advanced BCI models, collaborating closely with a diverse team of scientists and engineers. Your work will play a crucial role in advancing our understanding of neural dynamics and their applications in technology.

Zyphra is an innovative leader in artificial intelligence, located in the heart of San Francisco, California.Role Overview:As a Research Engineer specializing in Language Model Pre-Training, you will play a pivotal role in defining our language model strategy through comprehensive pretraining development. Your close collaboration with our pretraining team will ensure that your insights contribute to the advancement of our next-generation models.Key Responsibilities:Conduct large-scale training runs and implement model parallelization techniques.Optimize the performance of our pretraining stack.Oversee dataset collection, processing, and evaluation.Research architecture and methodologies, including optimizer ablations.Qualifications:Demonstrated engineering prowess in developing reliable and robust systems.A quick learner with a passion for implementing innovative ideas.Exceptional communication and collaboration skills, capable of working effectively on both research and engineering implementations at scale.Preferred Skills:Profound expertise in addressing machine learning challenges and training models.Experience training on large-scale (multi-node) GPU clusters.In-depth understanding of model training pipelines, including model/data parallelism and distributed optimizers.Strong methodology for conducting rigorous ablations and hypothesis testing.Familiarity with large-scale, high-performance data processing pipelines.High proficiency in PyTorch and Python programming.Ability to navigate and understand extensive pre-existing codebases swiftly.Published research in machine learning in reputable venues is an advantage.Postgraduate degree in a relevant scientific field (Computer Science, Electrical Engineering, Mathematics, Physics).Why Join Zyphra?We value a research methodology that emphasizes thoughtful, methodical progress towards ambitious objectives. Both deep research and engineering excellence are given equal importance.Join us in an environment that fosters innovation, collaboration, and professional growth.

About Nooks.ai:Nooks is the pioneering AI Sales Assistant Platform (ASAP) designed to eliminate mundane tasks, allowing sales representatives to dedicate their efforts to the more human aspects of selling, ultimately driving increased sales pipeline. Trusted by thousands of sales professionals, Nooks has not only helped teams meet their quotas but has also saved clients countless hours and generated substantial revenue. Some of our satisfied clients include renowned companies like Hubspot and Rippling.Our dynamic team has successfully raised over $70M from prestigious venture capital firms, including Kleiner Perkins, marking its first investment in sales technology in over a decade. In the last two years, we've achieved an impressive 4x and then 3x growth in ARR, with plans to triple it once more this year.To learn more, visit Nooks.ai.The RoleAs our inaugural GTM Sales Development Engineer, you will act as the technical co-pilot for the Sales Development team, responsible for the setup, optimization, and enablement within the Nooks platform. You will convert new product launches into scalable workflows and playbooks for both our internal teams and external clients.Your primary focus will be on enhancing pipeline generation efficiency, directly reporting to the Head of Sales Development while collaborating closely with Product, Engineering, RevOps, and Enablement teams. This position is perfect for individuals who thrive in high-performing sales development environments, possess strong technical skills, and excel at innovative problem-solving.You will be tasked with designing, building, and enabling teams to optimize our tech stack, accelerating pipeline velocity and boosting overall efficiency. This is a high-impact, visible opportunity for someone passionate about constructing systems, enforcing operational excellence, and directly impacting revenue in a fast-paced startup setting.Note: This position requires commuting to our San Francisco office three times a week to support a collaborative cross-functional culture.

About HappyRobotHappyRobot is at the forefront of revolutionizing the way enterprises harness AI workforces. Our AI agents are not just communicators; they actively make decisions, execute actions, and autonomously manage operations across voice, email, and enterprise systems. Originating from Y Combinator (S23) and supported by a16z and Base10 with over $60 million in funding, we empower essential operations for global enterprises.Our platform has proven robust in the most challenging environments, where AI impacts real outcomes. We began in logistics, developing our own voice stack, models, and orchestration layer from scratch, and are now extending that infrastructure to every enterprise that drives the real economy. Discover more about our vision in our manifesto.Role OverviewIn light of HappyRobot's rapid growth, this role is crucial in ensuring the underlying systems for Growth and Sales function effectively — from clean data and reliable reporting to seamless automations and a tooling stack that propels our teams forward. You will take charge of Salesforce operations, overseeing fields, workflows, data integrity, dashboards, and reporting. Additionally, you will manage the operational layer across our growth stack, which includes attribution, tool integrations, email infrastructure, and automation processes. You will be the go-to person for both Growth and Sales teams when they need solutions built, issues resolved, or new ideas explored.You would be an ideal candidate if you approach the GTM stack with a product manager's mindset — evaluating what's effective, identifying bottlenecks, recognizing gaps, and determining what to develop or procure next. As we expand, you will gain broader responsibilities over this stack and the strategic decisions surrounding it.What You’ll DoOversee Salesforce administration: ensuring data integrity, managing fields, record-triggered flows, reports, and dashboards.Develop and maintain integrations between Salesforce and the broader GTM stack (including Amplemarket, Unify, marketing automation tools, etc.).Establish and manage attribution to ensure we can assess what strategies are effective.Manage email infrastructure: domain setup, inbox warmup, and deliverability monitoring.Create automations that streamline processes and minimize manual tasks across the pipeline.

About Higgsfield AIHiggsfield AI stands at the forefront of video AI technology, revolutionizing synthetic media for social platforms. In a remarkable growth journey of just 9 months since its inception, our company has achieved a revenue run-rate exceeding $200 million and successfully secured $130 million in Series A funding as we embark on our next expansion phase.Who We’re SeekingWe are in search of an innovative GTM Engineer who operates at the intersection of Sales, Marketing, Product, and Data. This role is pivotal in constructing systems that expedite revenue generation for the company.This position is distinct from traditional sales or engineering roles; it is tailored for individuals who:Think like sales professionals yet build with an operator's mindset.Enjoy experimenting, prototyping, and streamlining workflows.Prioritize ROI and tangible business results.Excel in dynamic and ambiguous startup environments.Learn new tools actively rather than waiting for approval.A formal computer science background is not mandatory; however, a strong curiosity, commercial acumen, and the capability to transform complex GTM challenges into scalable solutions are essential.Your ResponsibilitiesGTM Infrastructure DevelopmentDesign, build, and oversee systems that underpin our GTM strategies across Sales, Partnerships, and Customer Success.Develop workflows to enhance lead enrichment, routing, outreach, deal progression, and account expansion efforts.Automate repetitive processes to enable revenue teams to concentrate on high-impact discussions.Revenue EnablementCollaborate closely with Sales and GTM leadership to identify deal stagnation points and devise solutions to overcome them.Create tools that assist representatives in qualifying leads more swiftly, personalizing interactions more effectively, and closing deals successfully.Experimentation & OptimizationApproach GTM as a product: generate hypotheses, test workflows, validate signals, and iterate rapidly.Conduct experiments across acquisition, conversion, and expansion to discern factors that drive revenue growth.Utilize feedback from Sales and customers to enhance systems and processes.Data & SignalsLeverage data to inform strategic decisions and optimize GTM efforts.

Join Metaview, an innovative AI company revolutionizing the recruiting landscape. Our AI agents empower leading organizations to hire with unprecedented speed and accuracy, automating repetitive tasks while enhancing human decision-making. We proudly serve notable clients such as Brex, Affirm, Deel, ElevenLabs, and Airtable.Founded by Siadhal and Shahriar, who amassed invaluable experience at Uber and Palantir, we’ve successfully raised over $50 million from esteemed investors, with Google Ventures leading our Series B round. Our growth trajectory is impressive, expanding fivefold year-over-year, and our customers are vocal about their satisfaction. Our journey has been highlighted in esteemed publications such as Fortune, Forbes, TechCrunch, and The Times.As we stand on the brink of transformation, we invite individuals eager to tackle the most challenging and rewarding projects of their careers to join us.Our Work CultureOur operations are driven by a singular focus: velocity. This principle manifests in our commitment to:Optimizing every aspect of our workflow to enhance learning speed.Delivering truly great work.Facilitating open, direct communication with complete context.All this while upholding our reputation for craftsmanship and excellence.Position OverviewAt this pivotal moment for our company, characterized by exceptional customer loyalty, clear product-market alignment, and rapid growth, we are seeking a GTM Recruiter based in San Francisco. In this role, you will work closely with our Co-founder/CEO (Siadhal) and the GTM leadership team to construct a top-tier commercial organization. You will manage the complete recruiting lifecycle for Sales, Customer Success, and Marketing positions, while also helping to establish the foundational systems, processes, and tools necessary to scale our hiring efforts.Key responsibilities include:Collaborating with the Co-founder/CEO and GTM leaders to clarify hiring requirements across Sales, Customer Success, and Marketing.Overseeing the entire recruiting process for GTM roles, including sourcing, outreach, screening, stakeholder alignment, interviewing, and offer management.Developing and refining recruiting processes, tools, and systems to enhance speed, quality, and consistency in hiring.Serving as a market expert on GTM talent in San Francisco, providing insights to leaders on talent availability and market trends.

Zyphra is a pioneering artificial intelligence firm located in the vibrant city of San Francisco, California.About the Role:We are seeking a passionate Research Scientist to join our dynamic Agency and Reasoning Team at Zyphra. In this role, you will conduct cutting-edge research in reinforcement learning, post-training methodologies, and human preference learning. Your innovative ideas will be instrumental in shaping our next-generation language models, enabling their application on a large scale.What We Desire:A strong sense of research intuition and tasteCapability to navigate a research project from initial concept to execution and documentationProficiency in implementation and prototypingA quick thinker who can rapidly transform ideas into experimental frameworksAbility to collaborate effectively in a fast-paced research environmentAn insatiable curiosity and enthusiasm for the study of intelligence.Qualifications:Proven experience and skill in reinforcement learning, particularly in the context of language model reasoning or classical RL tasksFamiliarity with language-model-supervised fine-tuning and preference-learning techniques, such as DPO and simPO.Experience with methods for context-length extensionStrong intuitive understanding of model behaviors, with the ability to refine them through iterative fine-tuningInterest in engaging deeply with data and dedicating time to data engineering and synthetic data generationA postgraduate degree in a scientific discipline (Computer Science, Electrical Engineering, Mathematics, Physics)Published research in reputable machine learning venuesExpertise in PyTorch and PythonEagerness and aptitude for rapidly acquiring new knowledge and implementing innovative conceptsExceptional communication and teamwork abilities, capable of contributing to both research and large-scale engineering effortsWhy Join Zyphra?We champion creative and unconventional ideas and are prepared to invest significantly in innovative concepts.Our culture fosters collaboration, curiosity, and intellectual growth.