About incident.ioincident.io is a pioneering AI-driven incident response platform designed to empower teams in significantly minimizing their incident response times and enhancing system reliability. Our comprehensive platform integrates on-call management, incident responses, AI SRE capabilities, and status updates, providing teams with the necessary tools to respond swiftly, minimize downtime, and keep their customers informed.Since our inception in 2021, we have successfully assisted over 1,500 organizations, including industry giants like Netflix, Airbnb, and Block, managing upwards of 500,000 incidents. Each month, tens of thousands of professionals across Engineering, Product, and Support leverage incident.io to accelerate service restoration, maintain alignment under pressure, and concentrate on what truly matters.We are a rapidly growing, ambitious team that places immense value on our clients, product excellence, and creating exceptional experiences. With $100M in funding from esteemed investors like Index Ventures, Insight Partners, and Point Nine, together with founders and executives from top-tier tech companies, we are poised for continued growth.The TeamThe Revenue Operations team at incident.io is a compact, high-impact group that collaborates closely with Sales, Marketing, and Customer Success to stimulate revenue growth and elevate GTM productivity.As the Head of Go-To-Market Systems & Applied AI, you will steer the transformation of our go-to-market infrastructure from a traditional systems function to a dynamic AI-powered operational engine. We conceptualize our GTM stack as a product, treat our revenue teams as clients, and prioritize automation and AI as the standard approach to resolving challenges previously addressed through manual efforts.Your role will involve collaborating with GTM leaders and Applied AI engineers to craft the systems, workflows, and intelligence layer essential for driving pipeline generation and revenue scaling. Your success will shape the future landscape of GTM systems at incident.io.

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.

About Distyl AIDistyl AI specializes in creating high-performance AI systems that enhance the fundamental operational processes of Fortune 500 companies. Through a strategic alliance with OpenAI, proprietary software accelerators, and extensive expertise in enterprise AI, we deliver effective AI solutions with swift time-to-value, often within a quarter.Our innovations have empowered Fortune 500 clients in various sectors, including insurance, consumer packaged goods, and non-profit organizations. Joining our team means you will assist organizations in recognizing, developing, and extracting value from their Generative AI investments, frequently for the first time. We prioritize customer needs, working backward from the client's challenges and ensuring we generate financial benefits while enhancing the experiences of end-users.Distyl is guided by seasoned leaders from top-tier companies like Palantir and Apple and enjoys backing from prominent investors including Lightspeed, Khosla, Coatue, Dell Technologies Capital, Nat Friedman (Former CEO of GitHub), Brad Gerstner (Founder and CEO of Altimeter), along with board members from numerous Fortune 500 firms.What We Are Looking ForAt Distyl, we are at the forefront of leveraging AI within enterprises. We seek imaginative researchers who aspire to go beyond incremental enhancements on benchmarks and are eager to redefine the application of software in innovative ways.Our researchers hail from diverse academic disciplines but possess a robust research background, operate in an AI-centric manner, and would find conventional research environments unfulfilling.Key ResponsibilitiesThe AI Systems team is dedicated to architecting complex, comprehensive solutions that integrate perception, reasoning, planning, and execution. Researchers amalgamate various components (LLMs, retrievers, evaluators, memory systems, and execution agents) into resilient, scalable systems that deliver consistent performance across dynamic enterprise workflows.Researchers in AI Systems examine the principles governing intricate system interactions. They analyze coordination, information flow, and emergent behavior across multiple agents and models. Their research reveals the foundational mechanics of robustness, composability, and alignment, ultimately establishing the design paradigm for constructing intelligent systems.

Role Overview Applied Compute is hiring a Go-To-Market Engineer in San Francisco. This role bridges engineering and commercial strategy, supporting both technical development and customer engagement. The position centers on building product demos, prototyping solutions in real time, and automating workflows that help move prospects to signed agreements. The Go-To-Market Engineer also strengthens internal tools for the sales team and works closely with other teams to highlight the platform’s capabilities. What You Will Do Develop and deliver customer-facing demos that highlight Applied Compute’s platform, including custom agents tailored to specific buyer needs and workflows. Prototype solutions live during customer interactions, moving quickly from discovery calls to working models. Partner with the Applied AI team on active deals, guiding the technical narrative for proofs of concept and pilot projects. Design AI-powered tools to support go-to-market efforts: streamline account research, personalize outreach, improve competitive intelligence, and refine pipeline reporting. Build reference implementations, set up demo environments, and create reusable agent patterns to accelerate future sales cycles. Bring knowledge of the AI landscape to influence product positioning and pricing conversations. Collaborate with product and engineering teams to spot customer trends that could shape new features. Qualifications Strong engineering background with the ability to quickly build functional prototypes. Experience with modern AI tools and frameworks, such as LLM APIs, agent orchestration, evaluation tools, and a broad understanding of the model ecosystem. Comfort working directly with customers, including technical stakeholders, and presenting complex features through clear demonstrations. Self-driven and focused on delivering results. Preferred Experience Interest in handling a variety of tasks, from account research and deal support to internal tool development and process improvement, often within the same day. Preference for automating tasks, building templates, workflows, and playbooks to support go-to-market growth. Background in customer-facing roles.

About Distyl AIDistyl AI specializes in crafting production-grade AI systems that enhance the core operational workflows of Fortune 500 companies. Through a strategic alliance with OpenAI, proprietary software accelerators, and profound enterprise AI knowledge, we deliver efficient AI solutions that ensure rapid value realization—often within a quarter.Our innovative products have empowered Fortune 500 clients across various sectors, including insurance, consumer packaged goods (CPG), and non-profit organizations. Joining our team means you will play a vital role in helping businesses identify, develop, and extract value from their investments in Generative AI for the first time. We prioritize a customer-centric approach, starting from the customer's challenges and holding ourselves accountable for delivering financial impact while enhancing the lives of end-users.Distyl is spearheaded by seasoned leaders from prestigious firms such as Palantir and Apple, and is supported by notable investors including Lightspeed, Khosla, Coatue, Dell Technologies Capital, Nat Friedman (former CEO of GitHub), Brad Gerstner (Founder and CEO of Altimeter), along with board members from numerous Fortune 500 companies.What We Are SeekingAt Distyl, we are redefining the application of AI within enterprises. We need innovative researchers who aspire to go beyond mere incremental enhancements on benchmarks or optimizing existing processes; we seek individuals eager to creatively transform how software is utilized.Our research team is composed of individuals from diverse academic disciplines, all with impressive research backgrounds. They thrive in an AI-native environment and would find traditional research organizations unchallenging.Key ResponsibilitiesThe System Self-Improvement team develops architectures that continually assess and enhance their own performance. Researchers are tasked with designing feedback-driven systems that can identify weaknesses, formulate corrective hypotheses, and autonomously implement improvements through self-reflection, retraining, or workflow adjustments. The ultimate aim is to create AI systems that compound in capability as they are used.Researchers in the Self-Improvement domain investigate how systems can construct self-models—gaining insight into when, why, and how they succeed or fail. They delve into reflective reasoning, reward modeling, and self-evaluation strategies to facilitate autonomous evolution. This research area merges reinforcement learning, interpretability, and meta-optimization to innovate continuously learning enterprise systems.

Join Distyl AI as an Applied AI Researcher in System Self-ConstructionDistyl AI is at the forefront of developing high-performance AI systems tailored for the operational needs of Fortune 500 companies. With the backing of OpenAI and a wealth of enterprise AI knowledge, we are committed to delivering AI solutions that generate tangible results in record time.Our innovative products have empowered various Fortune 500 clients across sectors, including insurance, consumer packaged goods, and non-profits. By joining our dynamic team, you will play a vital role in helping organizations harness the full potential of their Generative AI investments, often for the first time. We prioritize a customer-first approach, focusing on problem-solving and ensuring we contribute positively to both financial outcomes and user experiences.Led by industry veterans from renowned companies such as Palantir and Apple, and supported by esteemed investors like Lightspeed and Khosla, Distyl AI is positioned for substantial growth and impact.

Introducing OktaAt Okta, we are redefining identity management. As the world’s leading Identity Company, we empower individuals and organizations to engage securely with any technology, anywhere, and on any device. Our innovative platforms, Okta and Auth0, are designed to ensure secure access, authentication, and automation, placing identity firmly at the heart of business security and growth.We thrive on diverse perspectives and experiences. We seek dynamic individuals who are passionate about continuous learning and who can contribute uniquely to our mission.Be a part of our journey! Together, we are creating a world where identity is truly yours.The OpportunityAs a Principal Applied AI Marketing Engineer, you will play a pivotal role within the newly formed Marketing AI Spoke team. Acting as the lead product owner and technical architect, you will oversee a specialized portfolio of AI agents, workflows, and low-code/no-code applications. This position demands a unique blend of marketing expertise, technical skills, and analytical thinking to convert complex business challenges into effective, implemented AI-driven solutions.Your responsibilities will encompass the entire engineering lifecycle—defining, developing, testing, and deploying impactful initiatives that enhance our marketing productivity, operational efficiency, and customer engagement.

About UsAt Parallel, we are pioneering the future of web infrastructure. Our innovative products empower leading organizations in sectors such as sales, marketing, insurance, and software development to create exceptional AI agents, offering unparalleled programmatic access to the web.With a robust funding of $130 million from top-tier investors including Kleiner Perkins, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain, we are on a mission to redefine the web for AI applications. We are assembling a diverse and talented team of engineers, designers, marketers, sales professionals, researchers, and operational experts to help us achieve our ambitious goals.Role Overview:As a Go-To-Market Strategist, you will take ownership of the entire customer journey. You'll navigate the full sales cycle for some of the most ambitious AI companies globally, ranging from innovative startups to established multi-billion-dollar enterprises. Your responsibilities will encompass prospecting, conducting discovery sessions, managing proof of concepts (PoCs), negotiating contracts, closing deals, and overseeing account management. You'll have the unique opportunity to not only sell our product but also influence its development. Additionally, you will contribute to the growth of our Go-To-Market organization by developing playbooks, pricing strategies, automation processes, and metrics for success.Your Profile:You are a first-principles thinker with relentless resourcefulness and technical credibility, particularly in discussions surrounding APIs, systems, and large language models (LLMs). You possess a competitive drive to lead the market and have a background that could include early Go-To-Market roles, technical founding teams, solutions or customer engineering, venture capital, or other unconventional paths.Life at ParallelOur team operates fully in-person across our headquarters in Palo Alto and our office in San Francisco. We pride ourselves on being a flat, talent-rich organization focused on tackling both technical and creative challenges.We are looking for passionate individuals who share our commitment to applying science, creativity, and consistency to complex problems with significant outcomes. Here are our core values:Own Customer Impact: We take responsibility for delivering real-world outcomes for our customers.Obsess Over Craft: We strive for perfection in every detail because quality compounds.Accelerate Change: We prioritize fast shipping, quick adaptations, and move innovative ideas into production swiftly.Create Win-Wins: We creatively transform trade-offs into opportunities.Make High-Conviction Bets: We embrace experimentation, learning from failures, and succeeding disproportionately.Compensation & BenefitsCompetitive salaryGenerous equityVisa sponsorship available

The future of artificial intelligence—whether it involves training, evaluation, classical machine learning, or agentic workflows—begins with high-quality data.At HumanSignal, we're developing a cutting-edge platform that drives the creation, curation, and evaluation of this vital data. Our tools are utilized by top AI teams to ensure models are anchored in real-world signals rather than mere noise.Our open-source product, Label Studio, has established itself as the industry standard for labeling and evaluating data across various modalities, including text, images, time series, and agent-environment interactions. With over 250,000 users and hundreds of millions of labeled samples, it stands as the most widely adopted open-source solution for teams engaged in building AI systems.Label Studio Enterprise enhances our offering with the security, collaboration, and scalability features essential for supporting mission-critical AI pipelines—facilitating everything from model training datasets to evaluation test sets and continuous feedback loops. We were pioneers before foundation models became mainstream, and we're intensifying our efforts as AI continues to transform industries. If you're passionate about empowering leading AI teams to develop smarter and more accurate systems, we want to hear from you.About the RoleWe are in search of a driven AI Engineer to revolutionize our go-to-market operations. While we prefer candidates in San Francisco, Austin, or Lisbon for collaboration, this position is open to remote or hybrid arrangements.As the inaugural GTM engineer, you will design and implement AI-driven systems that support our entire go-to-market strategy, taking ownership of the technology stack, collaborating with stakeholders to define workflows, deploying AI agents and applications, and continually enhancing how the company attracts, engages, and retains customers.This is a highly hands-on position suited for someone who thrives on developing systems, rapidly experimenting, and tackling complex real-world challenges with software.Why This Role MattersThis position acts as a force multiplier for the entire organization. You will establish the infrastructure enabling the go-to-market team to accelerate operations, enhance learning, and scale effectively without proportional increases in headcount.

Join Our Innovative Team at ArcadeAt Arcade, we are revolutionizing the way physical products are created with our cutting-edge AI platform. We empower individuals to turn their creative ideas into tangible products seamlessly, utilizing natural language and generative AI. Our mission is to democratize product design, making it as effortless as sharing a post online.Backed by a remarkable $42M in funding from industry-leading investors including Reid Hoffman and Ashton Kutcher, our company is a rising star in the tech landscape. Guided by our founder Mariam Naficy and a team steeped in AI and design expertise, we are at the forefront of a new frontier that merges AI, personal expression, and on-demand manufacturing.Your Role as an Applied AI EngineerWe are on the lookout for an Applied AI Engineer to enhance our generative AI capabilities. This position combines hands-on model development with the integration of advanced AI techniques into our production systems. You will collaborate with diverse teams to conduct research, experiment with models, and implement AI-driven products.

Role Overview Paraform is hiring an Applied AI Engineer in San Francisco. This role focuses on building and deploying AI systems that directly serve real users. The ideal candidate brings 2-5 years of experience, a strong grasp of modern LLM-based technologies, and a track record of turning advanced models into reliable product features. Success in this role depends on sound product sense and the ability to weigh trade-offs between LLM and traditional machine learning approaches. Experience with LLM-powered applications, retrieval systems, agentic workflows, or automation is valuable. Familiarity with classic ML techniques, such as ranking, recommendation, or classification, will help in designing hybrid systems that balance performance, cost, and reliability. What You Will Do Design and build AI systems to improve matchmaking, ranking, and automation in the Paraform marketplace. Develop LLM-driven features, including retrieval pipelines and agentic workflows, to streamline recruiter and company interactions. Own systems end-to-end: from data pipelines and model design to deployment, monitoring, and iteration in production. Work closely with product managers, ML engineers, and full-stack teams to deliver AI capabilities that shape marketplace outcomes. Create evaluation frameworks to measure real-world performance, reliability, and business impact, not just offline metrics. Set best practices for building and maintaining production AI systems, balancing model quality, cost, latency, and maintainability. Advance the integration of AI into product experiences across the platform. What We Look For 2-5 years of experience at an AI-focused startup (Series A through D). Background working on products with a broad user base, beyond single-enterprise deployments. Proficient in Python and Typescript. Experience developing agentic systems that drive measurable business or user outcomes. Comfort with ambiguity and building in 0 to 1 environments. Ability to communicate technical trade-offs clearly to non-technical stakeholders.

Group: Impossible Cloud / Impossible Cloud Network (ICN)Focus: Integrating Enterprise Storage with Decentralized GPU OrchestrationOur MissionAt Impossible Cloud, we are transforming enterprise storage through our patented decentralized object storage technology, delivering a high-performance, cost-effective infrastructure. We aim to expand this foundation by creating a next-generation AI-first platform that integrates storage, compute, and GPU functionalities.We are looking for a dynamic and hands-on Go-to-Market Champion specializing in AI and GPU Infrastructure to accelerate Impossible Cloud's position in the market for Agentic AI infrastructure. This is an exceptional opportunity to join a rapidly growing AI infrastructure company during a critical phase, owning the GTM strategy from development to scaling a successful sales organization.In this role, you will collaborate closely with founders, Product, Marketing, and Customer Success teams to transform our viral product into a reliable, scalable revenue machine for enterprises. Our culture thrives on relentless innovation, accountability, and ownership, where each team member is dedicated to excellence and urgency in their work.Key Responsibilities- Develop and execute Impossible Cloud’s global Go-to-Market (GTM) strategy, focusing on market segmentation, value propositions, pricing, and packaging for GPU cloud and AI infrastructure tailored to enterprises, startups, and research entities.- Create scalable customer acquisition and retention strategies through direct sales, channels, and partnerships, enhancing commercial enablement and managing the customer journey (both commercial and technical).- Build and lead a high-performing global GTM team encompassing presales, direct sales, partnerships, solutions engineering, marketing, and customer success, while developing playbooks and performance metrics to instill a culture of customer focus and excellence.- Work closely with Product and Engineering to align GTM strategies with the product roadmap, integrating direct customer insights, and gathering market intelligence to anticipate trends in AI and cloud technology adoption.- Identify, negotiate, and lead strategic partnerships with AI firms, ISVs, integrators, and cloud marketplaces, while engaging with Enterprise and AI Native clients as a trusted advisor.

Job OverviewJoin our team at Eragon as an Applied AI Intern, where you will play a crucial role in developing and deploying advanced AI systems. Collaborating closely with engineers and researchers, you'll contribute to transforming AI models from theoretical concepts into impactful real-world applications.This internship offers a unique opportunity for hands-on experience across various aspects of modeling, data management, and systems integration, working on projects that directly reach users.Main ResponsibilitiesModel Development: Assist in refining, assessing, and implementing machine learning models to address practical challenges.System Implementation: Collaborate in building and integrating AI-driven features into live production systems.Data & Pipelines: Engage with datasets to facilitate training, evaluation, and iterative improvements.Experimentation: Conduct experiments, analyze outcomes, and enhance model performance through iterative testing.Evaluation & Monitoring: Contribute to the development of evaluation frameworks and assist in monitoring system performance metrics.Cross-Functional Collaboration: Work alongside engineering and product teams to aid in the development of new features.QualificationsEducation: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.Technical Skills: Proficient in Python with familiarity in machine learning frameworks such as PyTorch or TensorFlow.ML Fundamentals: Strong understanding of fundamental machine learning concepts and workflows.Problem-Solving Skills: Demonstrated ability to dissect problems and contribute to effective solutions.Curiosity & Initiative: A keen desire to learn and make meaningful contributions in a fast-paced setting.Preferred QualificationsExperience in machine learning projects, internships, or research roles.Familiarity with large language models, AI agents, or data pipelines.Demonstrated experience in building projects beyond academic coursework.Genuine interest in real-world AI applications.

About UsAt Applied Compute, we are pioneering the development of Specific Intelligence for enterprises, creating agents that continuously learn from a company’s processes, data, expertise, and objectives. Our mission is to bridge the gap between isolated AI capabilities and their effective application within real business environments. Traditional AI systems often fall short as they lack the ability to adapt based on feedback. Our innovative continual learning layer captures context, memory, and decision-making processes across the enterprise, enabling specialized agents to engage in meaningful work.What Excites Us: We operate at the exciting intersection of product development and cutting-edge research. Our product team designs the platform that empowers a new generation of digital coworkers, while our research team drives advancements in post-training and reinforcement learning to enhance user experiences. As an applied research engineer, you will work directly with clients to implement models in production, combining robust product development with deep research insights to facilitate AI integration in enterprises.Meet Our Team: Our diverse team consists of engineers, researchers, and operators, many of whom are former founders. We have previously built reinforcement learning infrastructure at OpenAI, established data foundations at Scale AI, and contributed to significant systems at companies like Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are proud to be backed by reputable investors such as Benchmark, Sequoia, and Lux.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel comfortable navigating new environments rapidly—be it a fresh codebase, a client’s data architecture, or an unfamiliar problem domain. A genuine enjoyment for customer interaction, empathy, and a deep understanding of their operational workflows are essential. Candidates with entrepreneurial backgrounds, extensive side projects, or a proven track record of end-to-end ownership typically excel in our environment.

About Anthropic Anthropic builds AI systems with a focus on reliability, interpretability, and steerability. The team includes researchers, engineers, policy experts, and business leaders, all working together to ensure AI benefits both users and society. Role Overview The Commercial Solutions Architect, Applied AI, joins Anthropic’s Applied AI team as a Pre-Sales Architect. This role centers on demonstrating the value of Claude and helping customers integrate and deploy it within their technology stacks. The position combines technical expertise with customer engagement to design LLM solutions for complex business needs, always maintaining Anthropic’s standards for safety and reliability. As a Commercial Solutions Architect, expect to work closely with key accounts, building reusable solution blueprints, demos, and enablement materials that support the wider adoption of Claude across Anthropic’s commercial clients. Collaboration is central: work alongside Sales, Product, and Engineering teams to guide clients from early technical discovery through to deployment. Use your knowledge to help customers understand Claude’s capabilities, develop evaluation strategies, and design scalable architectures that unlock the full potential of Anthropic’s AI systems. Location San Francisco, CA or New York City, NY

About SimAt Sim, we are pioneering the foremost platform for AI agents, empowering developers and enterprises to visually create, deploy, and oversee high-performance agents that automate workflows globally. Our mission is straightforward: AI agents will govern the world, and Sim is the primary facilitator for this transformation. Supported by elite investors including Standard Capital, Paul Graham, Perplexity, SV Angel, and Y Combinator, we have embraced open-source principles from our inception.As a dynamic and compact team based in San Francisco, we collaborate in person every day. With over 70,000 developers utilizing Sim, your contributions will be swiftly deployed and will have a significant impact on real users at scale. We champion ownership, excellence, and ambitious builders who are committed to shaping the future from the ground up.About the RoleWe are seeking our first Go-To-Market (GTM) Engineer to establish and develop the company's go-to-market and Revenue Operations (RevOps) infrastructure from the ground up. This is a pivotal role where you will not only refine existing workflows but also design and architect innovative systems. You will collaborate closely with leadership to define, implement, and scale our GTM systems, automations, and data flows. If you aspire to function as a technical founder for our GTM function while enjoying extensive ownership and rapid deployment, this opportunity is tailored for you.This position is full-time and requires working in-person at our San Francisco office.What You'll Do:Build from scratch: Develop Sim’s GTM infrastructure from the ground up, seamlessly integrating top-tier tools such as Salesforce, Clay, Gong, enrichment APIs, and more into an automated ecosystem.Create internal automations: Design and implement AI agents and bespoke workflows to automate account research, reduce manual tasks, and personalize outreach on a large scale.Engineered data flows: Construct the middleware and webhooks necessary for ensuring data integrity and synchronization across Sim’s product, CRM, and internal systems.Programmatic GTM: Translate overarching GTM strategies into automated workflows, customized internal tools, and data-driven outbound campaigns.Establish and scale: Set the technical standards and influence the foundational aspects of Sim’s GTM/Revenue Operations for years to come.What We’re Looking For:3+ years of experience in GTM Engineering, technical RevOps, or comparable technical roles.Strong coding skills (Python, JavaScript, or SQL) and experience with APIs.Proven history of integrating, automating, and optimizing workflows.

Join Our Team at Distyl AIDistyl AI is at the forefront of developing advanced, production-grade AI systems that enhance operational workflows for Fortune 500 companies. Through our strategic alliance with OpenAI, proprietary software accelerators, and extensive enterprise AI expertise, we deliver effective AI solutions with rapid results, often in a matter of weeks.Our innovative products have transformed operations for clients across various sectors, including insurance, consumer packaged goods, and non-profit organizations. By joining our dynamic team, you will play a crucial role in helping clients discover, build, and leverage value from their Generative AI investments, frequently for the first time. We prioritize a customer-first approach, focusing on their challenges and holding ourselves accountable for generating financial impact while enhancing user experiences.Distyl is led by accomplished leaders from prestigious companies like Palantir and Apple, with backing from top-tier investors including Lightspeed, Khosla, Coatue, and Dell Technologies Capital, among others.Your RoleAt Distyl, we are redefining the application of AI in enterprise environments. We seek imaginative researchers who aspire to go beyond mere incremental advancements and, instead, aim to innovatively reshape how software is utilized.Our research team comprises individuals from diverse academic backgrounds with robust research accomplishments. We operate in an AI-native manner and thrive in an environment that encourages unconventional thinking.Key ResponsibilitiesSimilar to generating hypotheses in AI for scientific exploration, the System Discovery team focuses on identifying new classes of AI systems. Researchers will investigate various architectures, modalities, and combinations to discover how AI can fundamentally transform work processes.Make connections across different domains to unveil new system archetypes. Engage in experimental problem definitions and develop prototypes that facilitate novel forms of human–AI collaboration.Who You AreBroad Systems Development Experience: You possess a diverse range of experience, having built systems in various paradigms, including retrieval pipelines, reasoning agents, evaluation harnesses, multimodal integrations, or workflow graph systems, and can distill these experiences into innovative solutions.

Hellyeah AI - hellyeahai.comJoin us in building a new office in the vibrant San Francisco Bay Area with a stellar team that values your expertise.Hellyeah AI is revolutionizing the growth and marketing landscape for fast-growing companies through AI-native infrastructure. Our founder-led sales have propelled us to achieve over $10 million ARR in a short time. We are on the hunt for a Founding Head of Go-To-Market to establish our commercial engine from the ground up.This position is not about merely managing a team or analyzing dashboards. Instead, it is a hands-on builder role designed for an innovative leader capable of developing a pipeline from scratch, crafting compelling market narratives, engaging early customers, and shaping the go-to-market strategy before it is fully realized. With a robust AI-native engineering team at your disposal, you will have the resources to create the tools necessary for scaling our operations. Collaborating closely with the founder, you will play a pivotal role in transforming Hellyeah from a nascent product into a significant market presence.We are searching for a dynamic go-getter.Someone who can convert an early-stage, cutting-edge product into a thriving commercial engine.Your ResponsibilitiesYou will spearhead the foundational stages of creating a repeatable go-to-market strategy for Hellyeah.Your tasks will include:Identifying and refining ideal customer profiles, market segments, and strategic entry points.Translating market ambiguities into a clear and compelling commercial narrative.Generating a sales pipeline from the ground up through outbound outreach, partnerships, founder-led sales, content marketing, community building, and creative initiatives.Personally conducting discovery calls, product demonstrations, pilots, negotiations, and initial expansions.Contributing to the development of pricing structures, product offerings, and service transitions.Collaborating closely with product teams and the founder to convert market insights into actionable roadmap decisions.Securing key customers that serve as case studies, proof points, and market leverage.Crafting the first repeatable go-to-market playbook encompassing messaging, processes, channels, and conversion strategies.Recruiting and onboarding the next wave of go-to-market talent as the strategy gains traction.Who Should ApplyThis role is ideal for those who aspire to build rather than inherit. You might be a former founding Account Executive, the first revenue hire, a versatile growth-and-sales operator, or an ex-founder with strong commercial instincts.

At sfcompute, we are pioneering a transformative approach to de-risk the largest infrastructure build-out in history.As organizations invest in GPU clusters, the datacenters that host them, and the supporting infrastructure, they require 'offtake' agreements—pre-signing contracts to lease these clusters before they are constructed.Financing GPU clusters involves inherent risks due to narrow margins coupled with substantial volumes. Lenders are hesitant to bear the risk that cluster developers may default on loans, while developers are equally wary of failing to sell their clusters. This dynamic necessitates transferring risk to customers through fixed-price, long-term contracts.Without adequate risk mitigation strategies for customers, market instability can arise. Unlike traditional SaaS models, where application layer companies sign multi-year contracts for computer and inference services while offering monthly subscriptions to clients, the stakes in this arena are significantly higher. A miscalculation in purchasing can lead to dire consequences, where even a small shift in revenue growth may result in profitability or insolvency. Imagine a scenario where companies could exit their contracts by selling them back to the market—this is the solution we offer.In an era where AI is rapidly scaling, compute power will only be accessible to those prepared to shoulder the associated risks. A small startup based in a San Francisco Victorian cannot realistically enter into a five-year obligation for $100 million supercomputers. However, they might acquire a month's worth of liquidity from the secondary market.Our mission is to create a liquid market for GPU offtake.The RoleWe are seeking a Go-To-Market (GTM) Generalist to serve as the bridge between our sales, growth, and customer onboarding teams. Collaborating closely with our Chief Revenue Officer, you will manage complex enterprise deals and facilitate onboarding for government and national clients, while also providing rapid value to small AI teams. Your role will involve partnering with both our technical team and the supply side to strategize on capacity growth. While deep technical expertise is not mandatory, a background in working with or selling technical products is essential. This position demands outstanding organizational skills, sound judgment, and customer-focused insights in high-pressure environments. Experience with marketplaces and two-sided platforms will be an added advantage.What You’ll DoExecute Deals with the CRO: Prepare and lead enterprise and federal discovery sessions, formulate ROI narratives, manage evaluation processes, coordinate security and legal requirements, and drive contracts to signature.Onboard Governments & Enterprises: Develop structured onboarding plans, implement data and security checklists, and enhance the overall customer experience.

Join us at Catalog as we revolutionize agentic commerce with a cutting-edge data infrastructure that empowers AI to comprehend and analyze the real economy. This unique role offers you the chance to spearhead our go-to-market (GTM) strategy while closing our initial set of deals.As our first GTM hire, you will be responsible for every aspect of pipeline generation and deal execution, establishing our footprint within frontier AI labs, innovative startups, and retailers. This position transcends a conventional sales role; you will construct our GTM function from the ground up while driving sales.Collaborating closely with our founders in San Francisco, you will define our Ideal Customer Profile (ICP), craft a comprehensive sales playbook, design pricing strategies, and establish scalable, repeatable processes. Expect a role characterized by high autonomy, significant impact, and complete ownership.Pipeline GenerationDevelop and execute Account-Based Marketing (ABM) campaigns targeting retailers, agentic commerce applications, and commerce infrastructure providers.Experiment with messaging, channels, and outbound sequences to determine effective strategies.Oversee conference strategy, including outreach before events, engagement during, and follow-up conversions post-event.Deal ExecutionManage the entire sales cycle: prospecting, qualifying, demonstrating, negotiating, and closing deals.Articulate the commercial value of our complex API/data infrastructure to technical stakeholders.Innovate pilot structures and pricing models for new use cases.Assess customer ROI and build compelling business cases for platform adoption.GTM StrategyConfirm target verticals and personas through direct engagement with customers.Establish our sales processes, qualification criteria, and partnership frameworks.Collaborate with engineering to guide product development based on customer insights.Create the reporting infrastructure and metrics necessary to scale our GTM initiatives.Ideal Candidate Profile1.5-3+ years of sales experience, particularly in closing technical or platform deals.Demonstrated ability to independently generate pipeline and achieve results.