Our mission at Wafer is to maximize intelligence per watt by using AI to optimize AI infrastructure, achieving thousands of times better energy and cost efficiency.
We believe cheap intelligence is the most essential piece of technology for a future of abundance. And we aim to build the future with intelligence too cheap to meter.
Wafer is well funded and serves trillions of tokens a month for mission-critical workloads. We serve high-performance inference to some of the fastest-growing AI companies in the world.
We're looking for a Chief of Staff to work directly with our CEO and make the company move faster. This is an unusually broad role. Your job is to take ownership of whatever important work would otherwise fall through the cracks.
One week that might mean coordinating an important customer visit, building a financial model, and helping negotiate a vendor contract. The next it might mean figuring out a new office, running a recruiting process, preparing for an investor meeting, or turning a messy strategic question into a clear decision.
You should be the kind of person we can hand an incomplete thought to and trust that it will come back finished.
Wafer is a very small team growing extremely quickly. At our size, there are constantly important things that do not cleanly belong to any one function. Today, many of those things end up with the CEO.
Your job is to change that.
You'll work directly with the CEO across company operations, customers, recruiting, finance, strategy, legal, and special projects. You won't necessarily be the permanent owner of each function. Instead, you'll make sure the highest-priority things happen, build systems when they're needed, and help us figure out what should eventually become its own function.
This is not a coordinator role. We expect you to operate independently, exercise judgment, and drive things to completion.
Some of the work will be highly strategic. Some of it will be deeply operational. We care much more about whether something matters to the company than the type of work.
This role is five days a week in person at our San Francisco office.
Take ambiguous problems from the CEO and drive them from rough idea to completed outcome.
Keep important company priorities from falling through the cracks across teams.
Help manage our most important customer relationships. Coordinate dinners, meetings, visits, follow-ups, gifts, events, and anything else that makes customers feel exceptionally taken care of, while keeping founders directly involved in the relationships that matter.
Own company operations that don't yet justify a dedicated function, including office operations, vendors, logistics, travel, contracts, and special projects.
Support recruiting when needed, particularly on high-priority searches and closing exceptional candidates.
Handle legal and administrative workflows alongside outside counsel and make sure important issues actually reach resolution.
Take technical context from the engineering team and turn it into clear communication for customers, candidates, investors, and partners.
Identify recurring bottlenecks and either fix them yourself, build a lightweight system around them, or help us hire the person who should own them permanently.
Do whatever else is most important for Wafer that week.
You are extremely high agency. When something is unclear, your instinct is to figure it out rather than wait for instructions.
You are unusually organized and detail-oriented. Things do not disappear when they are handed to you.
You have excellent judgment and know when to make a decision yourself versus pull someone else in.
You are comfortable switching between very different kinds of work in the same day.
You are scrappy. You solve problems with the minimum amount of process necessary.
You communicate extremely clearly and can represent Wafer well with customers, candidates, investors, and partners.
You have enough technical curiosity and fluency to understand an AI infrastructure company and learn quickly from engineers.
You are discreet and trustworthy with sensitive company information.
You have low ego. Booking a restaurant for a customer and helping think through a major financing decision can both be important parts of the job.
You have operated in a fast-moving, early-stage, or otherwise extremely demanding environment.
Most importantly, you learn very quickly and get an unreasonable amount done.
Inference performance depends on how efficiently models use the underlying hardware. Techniques across kernels, compilers, runtimes, and serving systems can dramatically improve latency and throughput, but these optimizations are difficult, hardware-specific, and slow to reproduce across new accelerators. And none of it counts until it is running in a customer's production traffic.
At Wafer, we are building AI systems that automatically optimize inference workloads across silicon. The goal is fungible token capacity. Any accelerator optimized toward serving inference most efficiently.
Wafer is well funded and serves trillions of tokens a month for mission critical workloads. We serve the highest performance inference to fast-growing AI startups.
Members of Technical Staff build the systems that make that possible and own the customers running on them. There is no separate solutions team, and no layer between you and the workload.
Develop and optimize high-performance computing kernels, and work across inference engine internals and serving infrastructure
Develop AI agents to do autonomous inference engineering
Design, deploy, and operate heterogeneous clusters across vendors
Own customer accounts end to end. Sales gets the first meeting. From there you decide what to prove, you build it, you keep it running in production, and you carry the relationship
Win the technical evaluation. Prove Wafer on the customer's own workload rather than a synthetic benchmark, and be the person who can explain the result to their engineers
Own production for your accounts. When latency moves or error rates climb, you find it, you fix it or route it, and you are who the customer hears from
Inform product roadmap. You sit closer than anyone to how Wafer behaves under real load, and the engineering team builds against what you report
You are an exceptional engineer. You have shipped and operated production systems, and you can still open a profiler, read a trace, and find the problem yourself. Inference experience helps, but it matters more that you can be handed an unfamiliar system and own it inside a week.
You have owned a customer relationship. You can name an account that was yours, say what was going wrong, and describe what you personally did about it.
You are credible in a room full of engineers. You can take a skeptical ML team through a benchmark, defend the methodology, and concede the point when they are right.
You work without a spec. The problem arrives half-defined from a customer who does not yet know what they need, and you come back with a scoped answer rather than a list of questions.
We score every candidate on seven values:
Infinitely Resourceful
Exceptionalism
Unreasonable Standards
Company Over Self
High EQ
Learns Quickly
First Principles Thinker
$200-300K base salary + generous equity.
Fully covered medical, dental, and vision insurance.
Daily lunch and dinner, unlimited PTO, and parental leave.
$1K/month housing stipend (post-tax) if you live within walking distance (0.5 miles) from the office.
Covered Uber/Waymo from/to office.
Visa sponsorship available.
On-site in San Francisco, five days a week. Small team with massive surface area and ownership. You operate with complete autonomy of how to solve problems. We don't see engineers as code writers, but as problem solvers. You will work across the stack to build a company scaling extremely quickly.
This is not a role that lives in meetings. Nearly all of your time is engineering. What makes it different is who that engineering is for: you are responsible for a named set of customers, their workloads run on what you build, and you are the person they hear from when it matters.
","descriptionPlain":"MEMBER OF TECHNICAL STAFF\n\nInference performance depends on how efficiently models use the underlying hardware. Techniques across kernels, compilers, runtimes, and serving systems can dramatically improve latency and throughput, but these optimizations are difficult, hardware-specific, and slow to reproduce across new accelerators. And none of it counts until it is running in a customer's production traffic.\n\nAt Wafer, we are building AI systems that automatically optimize inference workloads across silicon. The goal is fungible token capacity. Any accelerator optimized toward serving inference most efficiently.\n\nWafer is well funded and serves trillions of tokens a month for mission critical workloads. We serve the highest performance inference to fast-growing AI startups.\n\nMembers of Technical Staff build the systems that make that possible and own the customers running on them. There is no separate solutions team, and no layer between you and the workload.\n\n \n\n\nWHAT YOU'LL DO\n\n - Develop and optimize high-performance computing kernels, and work across inference engine internals and serving infrastructure\n\n - Develop AI agents to do autonomous inference engineering\n\n - Design, deploy, and operate heterogeneous clusters across vendors\n\n - Own customer accounts end to end. Sales gets the first meeting. From there you decide what to prove, you build it, you keep it running in production, and you carry the relationship\n\n - Win the technical evaluation. Prove Wafer on the customer's own workload rather than a synthetic benchmark, and be the person who can explain the result to their engineers\n\n - Own production for your accounts. When latency moves or error rates climb, you find it, you fix it or route it, and you are who the customer hears from\n\n - Inform product roadmap. You sit closer than anyone to how Wafer behaves under real load, and the engineering team builds against what you report\n\n \n\n\nWHAT WE LOOK FOR\n\n - You are an exceptional engineer. You have shipped and operated production systems, and you can still open a profiler, read a trace, and find the problem yourself. Inference experience helps, but it matters more that you can be handed an unfamiliar system and own it inside a week.\n\n - You have owned a customer relationship. You can name an account that was yours, say what was going wrong, and describe what you personally did about it.\n\n - You are credible in a room full of engineers. You can take a skeptical ML team through a benchmark, defend the methodology, and concede the point when they are right.\n\n - You work without a spec. The problem arrives half-defined from a customer who does not yet know what they need, and you come back with a scoped answer rather than a list of questions.\n\n \n\n\nHOW WE EVALUATE\n\nWe score every candidate on seven values:\n\n 1. Infinitely Resourceful\n\n 2. Exceptionalism\n\n 3. Unreasonable Standards\n\n 4. Company Over Self\n\n 5. High EQ\n\n 6. Learns Quickly\n\n 7. First Principles Thinker\n\n \n\n\nCOMPENSATION AND BENEFITS\n\n - $200-300K base salary + generous equity.\n\n - Fully covered medical, dental, and vision insurance.\n\n - Daily lunch and dinner, unlimited PTO, and parental leave.\n\n - $1K/month housing stipend (post-tax) if you live within walking distance (0.5 miles) from the office.\n\n - Covered Uber/Waymo from/to office.\n\n - Visa sponsorship available.\n\n \n\n\nHOW WE WORK\n\nOn-site in San Francisco, five days a week. Small team with massive surface area and ownership. You operate with complete autonomy of how to solve problems. We don't see engineers as code writers, but as problem solvers. You will work across the stack to build a company scaling extremely quickly.\n\nThis is not a role that lives in meetings. Nearly all of your time is engineering. What makes it different is who that engineering is for: you are responsible for a named set of customers, their workloads run on what you build, and you are the person they hear from when it matters.","compensation":{"compensationTierSummary":"$200K – $300K • Offers Equity • Fully covered medical, dental and vision. Daily lunch and dinner. Unlimited PTO and parental leave. $1K/month housing stipend if you live within half a mile of the office. Visa sponsorship available.","scrapeableCompensationSalarySummary":"$200K - $300K","compensationTiers":[{"id":"c9f16025-3c04-40d5-9211-76d78c6c6268","tierSummary":"$200K – $300K • Offers Equity • Fully covered medical, dental and vision. Daily lunch and dinner. 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Visa sponsorship available.","components":[{"id":"851af787-8bdf-4fd4-91a1-5ffd5812f0ba","summary":"$200K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":300000},{"id":"5d63f065-0b18-41fb-b1cb-f3d3ed82a2b6","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":200000,"maxValue":300000},{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null}]}},{"id":"6fdf1862-52e9-40f3-9512-d9e11b3b4078","title":"GTM ","department":"Go To Market","team":"Go To Market","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-08-14T01:20:44.651+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/wafer/6fdf1862-52e9-40f3-9512-d9e11b3b4078","applyUrl":"https://jobs.ashbyhq.com/wafer/6fdf1862-52e9-40f3-9512-d9e11b3b4078/application","descriptionHtml":"Wafer runs dedicated and serverless inference for open-weights models. We use AI to optimize AI infrastructure: we tune the whole serving stack so the same model runs faster on cheaper hardware, and our customers keep the difference. We are seven people in San Francisco and plan to double that as fast as we can hire.
We are hiring our first dedicated go-to-market hire to own the top of the funnel.
Your job is to create qualified first meetings with AI-native companies running production inference.
For the right person this is a fast way into technical sales. The cycle is short and you will be in conversations with CTOs in your first month. We would rather promote you than hire over you.
This role is in person in San Francisco, five days a week.
Own outbound volume. Roughly 80+ touches a day across email, LinkedIn, cold calls, and whatever else gets a reply.
Book qualified first meetings that convert into benchmarks. A meeting that was never going to benchmark is worse than no meeting.
Build and test multi-step sequences, and report reply and meeting rates every week with real numbers.
Work with the closer and forward deployed engineer before every first meeting so nobody walks in cold.
Keep the CRM up to date.
Have at 12+ months of B2B outbound ai a high-growth AI-native company, active now or within the last six months, and can recite your own numbers from memory: touches per day, reply rate, meetings per week, and what you changed to move them.
Have done this at an early-stage startup before, seed or Series A, where the playbook did not exist yet and nobody handed you a list.
Are unreasonably persistent, and treat a 2 to 5 percent reply rate as a problem to solve rather than a reason to stop.
Write like a person. Short, specific, no marketing voice.
Are technically curious enough to learn the inference stack and hold your own with a CTO.
Track your own conversion rates before anyone asks for them.
Want the job after this one. This should turn into full cycle sales.
We score every candidate on seven values: Infinitely Resourceful, Exceptionalism, Unreasonable Standards, Company Over Self, High EQ, Learns Quickly, and First Principles Thinker.
The process is short. An intro call, a working session where you write real outbound against real accounts, and an onsite. We aim to go from first conversation to offer in under two weeks.
Our mission is to maximize intelligence per watt by using AI to optimize AI infrastructure, achieving orders of magnitude better energy and cost efficiency per token. We believe cheap intelligence is the most essential piece of technology for a future of abundance, and we care about building a world where intelligence is \"too cheap to meter.\" We commercialize that work by serving optimized LLMs as an inference cloud, and we serve the highest performance inference to fast-growing AI startups.
$100K base and $140K OTE, plus a equity. Variable is uncapped.
Medical, dental, and vision insurance for employees and dependents, with 100% of premiums covered.
Unlimited paid time off
Daily lunch and dinner.
$1K/month housing stipend if you live within walking distance (0.5 miles) of the office.
Visa sponsorship available.
Wafer is committed to maintaining a workplace free from discrimination and harassment.
We make employment decisions based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, belief, national origin, social or ethnic origin, age, physical, mental, or sensory disability, sexual orientation, gender identity or expression, marital status, civil union or domestic partnership status, past or present military service, HIV status, family medical history or genetic information, family or parental status including pregnancy, or any other status protected by law.
We welcome the opportunity to consider qualified applicants with prior arrest or conviction records. Our commitment to diversity includes hiring talented individuals regardless of their criminal history, in accordance with local, state, and federal laws, including San Francisco's Fair Chance Ordinance and California's ban-the-box laws.
","descriptionPlain":"ABOUT THE TEAM\n\nWafer runs dedicated and serverless inference for open-weights models. We use AI to optimize AI infrastructure: we tune the whole serving stack so the same model runs faster on cheaper hardware, and our customers keep the difference. We are seven people in San Francisco and plan to double that as fast as we can hire.\n\n\n\nABOUT THE ROLE\n\nWe are hiring our first dedicated go-to-market hire to own the top of the funnel.\n\nYour job is to create qualified first meetings with AI-native companies running production inference.\n\nFor the right person this is a fast way into technical sales. The cycle is short and you will be in conversations with CTOs in your first month. We would rather promote you than hire over you.\n\nThis role is in person in San Francisco, five days a week.\n\n\n\nIN THIS ROLE, YOU WILL:\n\n - Own outbound volume. Roughly 80+ touches a day across email, LinkedIn, cold calls, and whatever else gets a reply.\n\n - Book qualified first meetings that convert into benchmarks. A meeting that was never going to benchmark is worse than no meeting.\n\n - Build and test multi-step sequences, and report reply and meeting rates every week with real numbers.\n\n - Work with the closer and forward deployed engineer before every first meeting so nobody walks in cold.\n\n - Keep the CRM up to date.\n\n\n\nYOU MIGHT THRIVE IN THIS ROLE IF YOU:\n\n - Have at 12+ months of B2B outbound ai a high-growth AI-native company, active now or within the last six months, and can recite your own numbers from memory: touches per day, reply rate, meetings per week, and what you changed to move them.\n\n - Have done this at an early-stage startup before, seed or Series A, where the playbook did not exist yet and nobody handed you a list.\n\n - Are unreasonably persistent, and treat a 2 to 5 percent reply rate as a problem to solve rather than a reason to stop.\n\n - Write like a person. Short, specific, no marketing voice.\n\n - Are technically curious enough to learn the inference stack and hold your own with a CTO.\n\n - Track your own conversion rates before anyone asks for them.\n\n - Want the job after this one. This should turn into full cycle sales.\n\n\n\nHOW WE HIRE\n\nWe score every candidate on seven values: Infinitely Resourceful, Exceptionalism, Unreasonable Standards, Company Over Self, High EQ, Learns Quickly, and First Principles Thinker.\n\nThe process is short. An intro call, a working session where you write real outbound against real accounts, and an onsite. We aim to go from first conversation to offer in under two weeks.\n\n\n\nABOUT WAFER\n\nOur mission is to maximize intelligence per watt by using AI to optimize AI infrastructure, achieving orders of magnitude better energy and cost efficiency per token. We believe cheap intelligence is the most essential piece of technology for a future of abundance, and we care about building a world where intelligence is \"too cheap to meter.\" We commercialize that work by serving optimized LLMs as an inference cloud, and we serve the highest performance inference to fast-growing AI startups.\n\n\n\nCOMPENSATION AND BENEFITS\n\n$100K base and $140K OTE, plus a equity. Variable is uncapped. \n\n - Medical, dental, and vision insurance for employees and dependents, with 100% of premiums covered.\n\n - Unlimited paid time off\n\n - Daily lunch and dinner.\n\n - $1K/month housing stipend if you live within walking distance (0.5 miles) of the office.\n\n - Visa sponsorship available.\n\n\n\nEQUAL OPPORTUNITY\n\nWafer is committed to maintaining a workplace free from discrimination and harassment.\n\nWe make employment decisions based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, belief, national origin, social or ethnic origin, age, physical, mental, or sensory disability, sexual orientation, gender identity or expression, marital status, civil union or domestic partnership status, past or present military service, HIV status, family medical history or genetic information, family or parental status including pregnancy, or any other status protected by law.\n\nWe welcome the opportunity to consider qualified applicants with prior arrest or conviction records. Our commitment to diversity includes hiring talented individuals regardless of their criminal history, in accordance with local, state, and federal laws, including San Francisco's Fair Chance Ordinance and California's ban-the-box laws.","compensation":{"compensationTierSummary":"$100K – $140K • Offers Equity • $40K Commission • $100K base, $140K OTE at 100% of quota. Commission is uncapped.","scrapeableCompensationSalarySummary":"$100K - $140K","compensationTiers":[{"id":"c392fabf-c6ce-4c2c-850e-842b3630fe51","tierSummary":"$100K – $140K • Offers Equity • $40K Commission • $100K base, $140K OTE at 100% of quota. Commission is uncapped.","title":null,"additionalInformation":"$100K base, $140K OTE at 100% of quota. Commission is uncapped.","components":[{"id":"33927ac4-ed06-43a9-9e48-ed0e83c7db88","summary":"Offers Equity","compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"id":"246556ea-7d13-470c-b86c-c06d9b307713","summary":"$100K – $140K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":100000,"maxValue":140000},{"id":"c24bc964-ae86-45e1-a1ea-f62092618bc8","summary":"$40K Commission","compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":40000,"maxValue":40000}]}],"summaryComponents":[{"compensationType":"EquityPercentage","interval":"NONE","currencyCode":null,"minValue":null,"maxValue":null},{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":100000,"maxValue":140000},{"compensationType":"Commission","interval":"1 YEAR","currencyCode":"USD","minValue":40000,"maxValue":40000}]}},{"id":"b1f52670-aea4-4865-84de-2a4a40de2524","title":"Founding Growth","department":"Go To Market","team":"Go To Market","employmentType":"FullTime","location":"San Francisco","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-08-27T18:57:58.392+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/wafer/b1f52670-aea4-4865-84de-2a4a40de2524","applyUrl":"https://jobs.ashbyhq.com/wafer/b1f52670-aea4-4865-84de-2a4a40de2524/application","descriptionHtml":"Our mission at Wafer is to maximize intelligence per watt by using AI to optimize AI infrastructure, achieving thousands of times better energy and cost efficiency.
We believe cheap intelligence is the most essential piece of technology for a future of abundance. And we aim to build the future with intelligence too cheap to meter.
Wafer is well funded and serves trillions of tokens a month for mission-critical workloads. We serve high-performance inference to some of the fastest-growing AI companies in the world.
We're looking for our founding growth hire to work directly with our founders and GTM lead to build Wafer's marketing function and make the company grow faster. This is an unusually broad role. Your job is to take ownership of how Wafer shows up and execute whatever marketing work matters most across brand, content, social, launches, communications, events, customer stories, and distribution.
One week that might mean turning an engineering result into a product launch, writing posts for Wafer and its founders, and improving a landing page. The next it might mean organizing a dinner for AI infrastructure leaders, interviewing a customer for a case study, coordinating a podcast or press opportunity, or figuring out which marketing program we should run next.
You should be the kind of person we can hand an incomplete thought, technical result, or rough idea to and trust that it will come back as a clear strategy and finished work.
Strategy and positioning: Help define Wafer's marketing strategy, audiences, narrative, priorities, and operating calendar. Make our technical differentiation clear without oversimplifying it.
Brand and content: Develop Wafer's voice and visual direction. Create strong content for the website, X, LinkedIn, newsletters, video, and other relevant formats.
Founder-led social: Turn the founders' ideas, technical work, and market observations into distinctive posts, essays, and commentary.
Launches and communications: Plan and execute product, model, partnership, research, and company announcements across owned channels, communities, press, podcasts, and partners.
Events and community: Own our approach to conferences, dinners, meetups, workshops, and developer events, from concept and audience selection through execution and follow-up.
Technical and customer storytelling: Work with engineers and customers to produce accurate case studies, technical articles, benchmark narratives, videos, and sales materials.
Website and distribution: Keep the website current, create campaign and launch pages, and distribute our work through social, email, communities, events, partners, and targeted programs.
Measurement and operations: Establish a practical scorecard, evaluate what is working, and build lightweight workflows using AI, automation, contractors, and software where appropriate.
You may be a fit if:
You have 3+ years of experience across marketing, growth, communications, content, community, or a similarly broad role. Quality of work matters more than the exact number of years.
You have worked in an early-stage environment where the strategy, process, and assets were not already built for you.
You are an exceptional writer and can show work you personally created.
You can move comfortably between strategy, creative work, project management, and execution.
You are curious enough to learn about models, inference, latency, throughput, and GPU infrastructure.
You have strong taste and know when a message, page, event, or piece of content is not good enough.
You are proactive, organized, and comfortable working directly with founders, engineers, customers, and external partners.
You use data to improve your judgment without reducing marketing to impressions, raw leads, or last-click attribution.
You want to work closely with a small team in person in San Francisco.
Experience with AI infrastructure, developer tools, technical content, founder-led social, events, product launches, media, design, video, web tools, or marketing automation is helpful but not required.
Wafer has a clear, consistent, and differentiated story.
Technical developments reliably become strong launches, content, and commercial assets.
Wafer and its founders build credible voices in the AI infrastructure community.
Events create meaningful relationships and customer conversations.
Customer outcomes become high-quality, permissioned proof.
Marketing contributes measurably to product adoption, qualified customer conversations, and company momentum.
We know which programs to repeat, scale, improve, or stop.
This role may not be right for you if you want to focus exclusively on strategy, specialize in one channel, manage a large team, or inherit a mature marketing playbook.
Send us:
two to four examples of work you personally created or led
a brief explanation of what you owned and what happened as a result
a short note about why Wafer interests you
one marketing opportunity you think Wafer should explore and why
Wafer is an equal-opportunity employer. We evaluate candidates based on their abilities, judgment, potential, and the quality of their work.
","descriptionPlain":"ABOUT WAFER\n\nOur mission at Wafer is to maximize intelligence per watt by using AI to optimize AI infrastructure, achieving thousands of times better energy and cost efficiency.\n\nWe believe cheap intelligence is the most essential piece of technology for a future of abundance. And we aim to build the future with intelligence too cheap to meter.\n\nWafer is well funded and serves trillions of tokens a month for mission-critical workloads. We serve high-performance inference to some of the fastest-growing AI companies in the world.\n\nWe're looking for our founding growth hire to work directly with our founders and GTM lead to build Wafer's marketing function and make the company grow faster. This is an unusually broad role. Your job is to take ownership of how Wafer shows up and execute whatever marketing work matters most across brand, content, social, launches, communications, events, customer stories, and distribution.\n\nOne week that might mean turning an engineering result into a product launch, writing posts for Wafer and its founders, and improving a landing page. The next it might mean organizing a dinner for AI infrastructure leaders, interviewing a customer for a case study, coordinating a podcast or press opportunity, or figuring out which marketing program we should run next.\n\nYou should be the kind of person we can hand an incomplete thought, technical result, or rough idea to and trust that it will come back as a clear strategy and finished work.\n\n\n\nWHAT YOU'LL OWN\n\n - Strategy and positioning: Help define Wafer's marketing strategy, audiences, narrative, priorities, and operating calendar. Make our technical differentiation clear without oversimplifying it.\n\n - Brand and content: Develop Wafer's voice and visual direction. Create strong content for the website, X, LinkedIn, newsletters, video, and other relevant formats.\n\n - Founder-led social: Turn the founders' ideas, technical work, and market observations into distinctive posts, essays, and commentary.\n\n - Launches and communications: Plan and execute product, model, partnership, research, and company announcements across owned channels, communities, press, podcasts, and partners.\n\n - Events and community: Own our approach to conferences, dinners, meetups, workshops, and developer events, from concept and audience selection through execution and follow-up.\n\n - Technical and customer storytelling: Work with engineers and customers to produce accurate case studies, technical articles, benchmark narratives, videos, and sales materials.\n\n - Website and distribution: Keep the website current, create campaign and launch pages, and distribute our work through social, email, communities, events, partners, and targeted programs.\n\n - Measurement and operations: Establish a practical scorecard, evaluate what is working, and build lightweight workflows using AI, automation, contractors, and software where appropriate.\n \n\n\nABOUT YOU\n\nYou may be a fit if:\n\n - You have 3+ years of experience across marketing, growth, communications, content, community, or a similarly broad role. Quality of work matters more than the exact number of years.\n\n - You have worked in an early-stage environment where the strategy, process, and assets were not already built for you.\n\n - You are an exceptional writer and can show work you personally created.\n\n - You can move comfortably between strategy, creative work, project management, and execution.\n\n - You are curious enough to learn about models, inference, latency, throughput, and GPU infrastructure.\n\n - You have strong taste and know when a message, page, event, or piece of content is not good enough.\n\n - You are proactive, organized, and comfortable working directly with founders, engineers, customers, and external partners.\n\n - You use data to improve your judgment without reducing marketing to impressions, raw leads, or last-click attribution.\n\n - You want to work closely with a small team in person in San Francisco.\n\nExperience with AI infrastructure, developer tools, technical content, founder-led social, events, product launches, media, design, video, web tools, or marketing automation is helpful but not required.\n\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - Wafer has a clear, consistent, and differentiated story.\n\n - Technical developments reliably become strong launches, content, and commercial assets.\n\n - Wafer and its founders build credible voices in the AI infrastructure community.\n\n - Events create meaningful relationships and customer conversations.\n\n - Customer outcomes become high-quality, permissioned proof.\n\n - Marketing contributes measurably to product adoption, qualified customer conversations, and company momentum.\n\n - We know which programs to repeat, scale, improve, or stop.\n\nThis role may not be right for you if you want to focus exclusively on strategy, specialize in one channel, manage a large team, or inherit a mature marketing playbook.\n\n\n\nHOW TO APPLY\n\nSend us:\n\n - two to four examples of work you personally created or led\n\n - a brief explanation of what you owned and what happened as a result\n\n - a short note about why Wafer interests you\n\n - one marketing opportunity you think Wafer should explore and why\n\nWafer is an equal-opportunity employer. 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