--- title: 'GTM Engineer at Zyphra' canonical: 'https://feeny.ai/job/gtm-engineer-zyphra-san-francisco-036cvpkp3amk' type: 'job' last_seen: '2026-09-06' --- # GTM Engineer at Zyphra - **Company:** Zyphra - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-03-19 - **Last confirmed live:** 2026-09-06 - **Apply:** https://jobs.ashbyhq.com/zyphra/02903b3d-21ec-4678-9cef-e3a10ea165e7 ## Job description ZYPHRA IS AN ARTIFICIAL INTELLIGENCE COMPANY BASED IN SAN FRANCISCO, CALIFORNIA. ## THE ROLE: As a GTM Engineer, you will be a core builder on Zyphra's GTM team, responsible for designing, deploying, and continuously improving the AI-driven systems that power our go-to-market engine. This is not a traditional sales, sales ops or RevOps role. You will bring direct GTM domain expertise and deep, hands-on proficiency with modern AI tools and you'll use both to build infrastructure that creates lasting commercial leverage. The best candidates for this role have done the hard work of GTM: outbound strategy, customer segmentation, messaging, business development and have also built tangible applications with AI tools. You know where the manual work hides, and you know how to engineer it away. ## YOU’LL WORK ACROSS: - Designing and deploying end-to-end AI-powered GTM workflows spanning prospecting, outreach, enrichment, qualification, and pipeline management - Building and owning the GTM tech stack with tools like Clay, n8n, HubSpot, and custom integrations, and architecting the systems that connect them - Developing and iterating customer segmentation models, ICP scoring frameworks, and signal-based targeting systems using enrichment data and AI - Rapid-prototyping new GTM motions, running structured experiments with real pipeline data, and scaling what works - Using Claude Code, Cursor, and other AI coding tools to build custom automations, scripts, and lightweight applications that accelerate GTM output - Partnering with sales, marketing, and business development to translate business needs into automated systems and measuring the revenue impact - Identifying new areas where AI tools can be applied to GTM functions, staying ahead of what's possible and experimenting before it becomes standard practice - Developing communications processes, messaging frameworks, outreach sequences, and content systems that can be personalized at scale through AI WHAT WE'RE LOOKING FOR / REQUIREMENTS: - 3–5 years of hands-on experience in B2B go-to-market roles: business development, sales operations, growth, or revenue operations, with direct exposure to customer segmentation, targeting, outbound strategy, and pipeline generation - Deep, working proficiency with AI coding tools including Claude Code and Cursor/Copilot, you build with these tools daily, not occasionally - Experience building and automating workflows with tools like n8n, Zapier, Make, or similar platforms, with the ability to design and deploy complex multi-step automations - Hands-on experience with Clay, Apollo, or equivalent data enrichment and prospecting platforms as a core part of your GTM toolset - A systems thinker who designs for scale, you see manual GTM work as an engineering problem and default to automating it - Excellent communication and collaboration skills; the ability to work across sales, marketing, product, and research teams to understand needs and ship solutions - Demonstrated ability to operate in fast-moving, ambiguous environments where the playbook doesn't exist yet ## QUALIFICATIONS / ADDITIONAL SKILLS: - Experience with CRM platforms (HubSpot, Salesforce) including building custom workflows, lifecycle stages, and reporting infrastructure - Comfort writing Python or SQL to build custom integrations, data pipelines, or lightweight internal tools when off-the-shelf solutions aren't enough - Familiarity with LLM prompting techniques and orchestration frameworks as applied to GTM use cases: process optimization, outreach personalization, research automation, scoring, summarization - Experience measuring and reporting on GTM automation ROI: pipeline generated, time saved, conversion improvements, CAC reduction - Comfort designing and testing messaging frameworks at the ICP, vertical, or persona level and using AI to personalize at scale - Prior experience at an early-stage or high-growth AI company, or strong familiarity with the AI tooling ecosystem - Interest in frontier AI research and the ability to translate technical product concepts into compelling commercial narratives ## WHY WORK AT ZYPHRA: - Zyphra is building at the frontier of AI and this role sits at the center of how that work gets seen - You will build and help define the function, not inherit it; there is no legacy playbook to maintain - We move with the urgency of a startup and the rigor of a research lab, speed and quality are not in tension here, they're expected together - You will work directly alongside researchers, engineers, and founders, not through layers of management, which means your work gets seen, challenged, and improved fast - We believe GTM can be a demonstration of what AI can do; you will be empowered to prove that ## BENEFITS AND PERKS: - Comprehensive medical, dental, vision, and FSA plans - Competitive compensation and 401(k) plan - Relocation and immigration support on a case-by-case basis - In-office snacks and meals provided - Unlimited PTO and company holidays - In-person team in San Francisco with a collaborative, high-energy environment ## About Zyphra ## Company Overview - **One-liner**: Zyphra is a full-stack AI company building open foundation models and a sovereign cloud platform to deliver advanced AI to developers, enterprises, and hyperscalers. - **Entity Type**: Private, Series A - **Headquarters**: San Francisco, California, United States - **Founded**: 2020 (some sources cite 2021) - **Founders**: Krithik Puthalath (CEO), Beren Millidge (Chief Scientist), Danny Martinelli (Head of Product), Tomás Figliolia (Chief Architect) ## Core Business - **Primary industry**: Artificial Intelligence / Foundation Models / Cloud AI Infrastructure - **Target customers**: Developers, enterprises, and "frontier AI hyperscalers" (B2B) - **Mission or purpose**: "Open Superintelligence" – to enable sovereign, transparent, and customizable AI that runs on any hardware without vendor lock-in. ## Products & Services - **[Zyphra Research](https://www.zyphra.com/)**: Open-source foundation models trained on heterogeneous compute, focusing on novel architectures for long-term memory, continual learning, and silicon performance. Released as research prototypes. - **[Zyphra Cloud](https://www.zyphra.com/)**: Full-stack AI platform built on AMD, designed for long-horizon agents. Provides managed infrastructure for deploying, customizing, and running Zyphra's or third-party models with full data sovereignty. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding of **$11M** (Series A) - **Notable Investors/Partners**: AMD, Intel Capital, Future Ventures, Bison Ventures, Transpose Platform, and others - **Growth Signals**: - Headcount grew **151.9% YoY** to 53 employees - Operates in 5 countries (US, UK, Canada, India, Saudi Arabia) with offices in San Francisco, Palo Alto, and London - Active job postings: 14 (up 16.7% quarterly) - LinkedIn followers grew 236.3% year-over-year ## Competitive Advantages - **Full-stack open-source approach**: Combines novel model architectures (probabilistic computing, heterogeneous compute) with a cloud platform optimized for long-horizon AI agents. - **Hardware agnosticism**: Promises "run intelligence across any hardware and any provider, without lock-in," with early focus on AMD silicon. - **Commitment to openness**: Models are transparent, allowing customers to audit reasoning and adapt to specific domains. - **Sovereignty focus**: Enterprises own their models, data, and deployments – appealing to regulated industries. ## Strategic Focus - **Priority on architecture innovation** (continual learning, long-term memory, silicon performance) over scaling existing methods. - **Building a full-stack platform** that tightly couples research breakthroughs with a production-grade cloud service. - **Scaling the team** aggressively – hiring across research engineering, platform, developer relations, and AI engineering. ## Why Work Here - **Culture of open research**: Employees contribute to novel model architectures that are publicly released, offering a rare blend of academic freedom and product impact. - **Heavy engineering focus**: 57% of the team is in technical roles, with a flat structure (62% specialist-level roles). - **Locations**: San Francisco (HQ) and London, with potential for remote-friendly roles (not explicitly stated). - **Notable perks**: Not detailed publicly, but typical for a well-funded Series A startup (equity, benefits, etc.). - **Growth trajectory**: 150%+ headcount growth signals rapid scaling and career advancement opportunities. ## Sources 1. [zyphra.com](https://www.zyphra.com/) 2. [zyphra.com about](https://www.zyphra.com/about) 3. [jobs.ashbyhq.com/zyphra](https://jobs.ashbyhq.com/zyphra) 4. [linkedin.com/company/zyphra](https://www.linkedin.com/company/zyphra) 5. [cbinsights.com/company/zyphra](https://www.cbinsights.com/company/zyphra) ## Other roles at Zyphra - [Principal Solutions Architect](https://feeny.ai/job/principal-solutions-architect-zyphra-san-francisco-tvmr7yr66sye) — San Francisco, CA - [Developer Relations Lead](https://feeny.ai/job/developer-relations-lead-zyphra-san-francisco-8aak96cd9gcr) — San Francisco, CA - [Research Engineer - Model Architectures](https://feeny.ai/job/research-engineer-model-architectures-zyphra-san-francisco-q2xft42gbdne) — San Francisco, CA - [Research Engineer - Agency and Reasoning](https://feeny.ai/job/research-engineer-agency-and-reasoning-zyphra-san-francisco-n78mrpw38xb2) — San Francisco, CA - [Research Engineer - Language Model Pre-Training](https://feeny.ai/job/research-engineer-language-model-pre-training-zyphra-san-francisco-1e2n0tewvz0d) — San Francisco, CA - [Research Engineer - Audio & Speech Models](https://feeny.ai/job/research-engineer-audio-speech-models-zyphra-san-francisco-vpqsx2qaz8pm) — San Francisco, CA - [Data Engineer - Multimodal Systems](https://feeny.ai/job/data-engineer-multimodal-systems-zyphra-san-francisco-kd4wkewajppq) — San Francisco, CA - [Platform Engineer](https://feeny.ai/job/platform-engineer-zyphra-san-francisco-7nkavn90wn8m) — San Francisco, CA - [Lead Frontend Engineer](https://feeny.ai/job/lead-frontend-engineer-zyphra-san-francisco-d8cyqx60q9fe) — San Francisco, CA - [Full-Stack Software Engineer](https://feeny.ai/job/full-stack-software-engineer-zyphra-san-francisco-1066nczj3z2q) — San Francisco, CA