Applied Scientist at Coframe | San Francisco

Coframe seeks an Integrations Engineer to join the team in San Francisco. This position focuses on connecting the Coframe platform with a range of tools customers rely on, including customer data platforms, analytics suites, CRMs, advertising systems, reporting solutions, and task management apps. Most team members work together in person from the San Francisco office. Responsibilities Develop and maintain integrations with analytics, CRM, CDP, advertising, reporting, and workflow tools. Design public APIs and systems to expand the Coframe ecosystem. Create onboarding and setup processes that help customers get started quickly. Build tools for event debugging, identity handling, data synchronization, and implementation troubleshooting. Enhance reliability, monitoring, and observability across integrations. Collaborate directly with customers on complex technical integrations. Transform repetitive implementation work into scalable product features. Requirements Deep understanding of the MarTech landscape and hands-on experience with growth tools. Strong debugging skills across web applications, APIs, data streams, and identity management systems. Clear communicator who works well with both customers and internal teams. Comfortable managing shifting priorities and new requests as they arise. Experience using AI engineering tools to build, maintain, and validate integrations. Proactive approach and ability to work across multiple systems. Solid product sense, especially regarding developer experience and onboarding flows. Benefits Unlimited paid time off for work-life balance. Comprehensive medical, dental, and vision coverage for employees and their families. Life insurance and disability benefits. 401k plan with matching contributions. Meals provided in the office. Included gym membership.

Growth Strategist San FranciscoAbout CoframeCoframe is at the forefront of innovation, crafting the world's pioneering AI Growth Engineer. Our vision is to create dynamic user interfaces that are not merely static but evolve and personalize in real-time.Why Join Coframe?Exclusive Partnership with OpenAI: As the sole marketing technology firm collaborating with OpenAI, our engineers and researchers are co-training a model tailored for our specific use, setting us apart in the industry.Backed by Leading VCs: Our team is supported by top-tier investors like Khosla Ventures, Nat Friedman (former GitHub CEO), and Rich Miner (co-founder of Android). Joining Coframe now gives you a unique opportunity to be part of our growth before our Series A funding.Dynamic Team: Led by a serial entrepreneur who co-founded a unicorn with Tom Brady and guest lectures at Stanford, our team consists of elite researchers behind some of the most successful open-source code generation projects.Proven Success: Our proprietary generative AI technology has revolutionized A/B testing and personalization campaigns, driving an impressive $112.4M in incremental revenue for our clients in just six months.Your Role:Lead the Experimentation Roadmap: Design and implement A/B testing strategies for our enterprise clientele, identifying key opportunities and maintaining a robust testing cadence.Create Impactful Hypotheses: Utilize data analytics, user experience insights, and conversion optimization techniques to formulate test ideas that significantly enhance performance across various platforms.Utilize AI-Driven Tools: Harness Coframe's unique Mark-1 platform to swiftly create and deploy test variants, elevating the efficiency of your strategies.

Coframe is developing adaptive user interfaces to help businesses interact with technology more intelligently. The team is building what it calls the world's first AI Growth Engineer, with the goal of changing how companies think about growth and engagement. Coframe’s work has been recognized by organizations such as OpenAI and Replit. Role overview The Data Analyst will partner with clients to deliver insights, reports, and analysis that shape important business decisions. This position supports both Coframe’s internal teams and client-facing projects, playing a central role in the company’s growth. What makes Coframe unique Experienced team: Work alongside industry veterans, including a founder who previously co-founded a unicorn with Tom Brady and teaches AI at Stanford. Rapid growth: Coframe has posted 120% growth quarter over quarter, with its AI Agents driving measurable improvements in marketing strategies. Strong backing: Supported by investors such as Khosla Ventures and Nat Friedman. OpenAI partnership: The only marketing technology company with an official partnership with OpenAI. Location This role is based in the San Francisco Bay Area.

Account ExecutiveSan FranciscoAbout Coframe"You guys are insane." — The OpenAI Eng TeamAt Coframe, we are pioneering the development of the world's first AI Growth Engineer. Our vision is to create a future where user interfaces transcend static code, evolving into dynamic entities that adapt and personalize themselves in real time.Why You Should Join Coframe:Innovative Partnership: As the only marketing technology company officially collaborating with OpenAI, our engineers and researchers are co-training a model tailored to our use case, highlighting the exceptional talent within our team.Abundant Opportunities: We are experiencing remarkable growth at 190% QoQ, leading to a continuous influx of high-intent inbound demand. We are seeking passionate sales professionals to seize this opportunity.Respected Backing: Supported by top-tier investors including Khosla Ventures, Nat Friedman (former GitHub CEO), and Rich Miner (co-founder of Android), joining us now offers a unique chance to be part of our journey ahead of our Series A funding.Exceptional Team: Our founder is a serial entrepreneur who co-founded a unicorn with Tom Brady and teaches AI at Stanford. Our team comprises researchers from leading institutions who have created some of the most renowned open-source code generation projects.Proven Success: With our proprietary generative AI technology, we empower our AI Agents to autonomously design, code, debug, and deploy A/B tests and personalization campaigns. In the last six months, we have generated $112.4M in additional revenue for our clients.Your Responsibilities:Manage the Complete Sales Cycle: Oversee the entire sales process from initial prospect engagement to negotiation and closing.Drive Sales Opportunities: This includes conducting discovery sessions, value presentations, demonstrations, POCs, navigating legal aspects, and showcasing ROI to multiple stakeholders (CPOs, VPs of Growth, and CMOs).Sales Methodology: Collaborate with leadership to refine our sales strategies and best practices.

About UsAt Koah Labs, we are pioneering the advertising network that will drive the future of AI-native products. Our mission is to empower publishers in monetization while enabling advertisers to effectively reach their target audiences, all without sacrificing speed, user experience, or privacy.We are a passionate and close-knit team based in San Francisco, boasting a wealth of experience from industry leaders such as X, Apple, Meta, and various early-stage startups. With backing from top investors, we are rapidly expanding and gaining real traction on both the publisher and advertiser fronts.Joining Koah means becoming part of something transformative from the ground up. You will have the opportunity to ship code that influences not just our company but the broader ecosystem we are building. We prioritize speed, trust, and a deep commitment to our craft.Our Technology StackInfrastructure: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, CloudflareData Technologies: PostgreSQL, ClickHouse, Redis, Kafka, PythonCore Application: Ruby on Rails, React, TypeScriptSDKs: Flutter, React Native, Android, iOSSample ProjectsDeveloping efficient algorithms for real-time bidding systems, leveraging current pricing literature.Creating and deploying regression models that predict end conversions based on demographic, audience, and semantic data.Utilizing privacy-preserving clustering techniques to categorize conversational data, enhancing advertiser outreach.Conducting comprehensive data analysis to uncover insights that can enhance our primary ad matching system, balancing both publisher and advertiser goals.

Coframe is developing the first AI Growth Engineer, with a focus on user interfaces that adapt and personalize in real time. The team is hiring Solutions Engineers to support the CRO product line, especially those with a background in web platforms for go-to-market, growth, or conversion optimization. Team and Culture The founder previously co-founded a unicorn company with Tom Brady and teaches AI at Stanford. Coframe's researchers have contributed to major open-source code generation projects. The company is pre-Series A and backed by Khosla Ventures, Nat Friedman (former GitHub CEO), and Rich Miner (Android co-founder). Coframe is also the only martech company officially partnering with OpenAI, co-training a model tailored to its needs. Growth and Impact Coframe's AI Agents design, code, and deploy A/B tests, landing pages, and personalization experiences significantly faster than traditional methods. The company has delivered over $200M in revenue for clients such as Dropbox, Replit, and Intuit within six months, and has grown 120% quarter over quarter. What You Will Do Lead technical onboarding for new clients, managing the full integration of Coframe on customer websites and working directly with their engineering teams. Design, code, and launch A/B test variants using the Mark-1 platform. This position involves hands-on coding. Troubleshoot integration issues, perform quality checks, and ensure experiments run smoothly across browsers, devices, and tech stacks. Set up and verify analytics integrations, including GA4, Segment, Amplitude, and custom data layers. Act as a technical liaison between business goals and technical requirements for both client developers and Coframe's engineering team. Oversee a portfolio of enterprise accounts, maintaining high standards across multiple clients. Location This role is based in the SF Bay Area.

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

Join Our Team as a Senior Applied Scientist!At Gridware, we are on a mission to revolutionize grid management through innovative technology. Based in San Francisco, we are pioneering a cutting-edge approach known as Active Grid Response (AGR). This initiative focuses on enhancing the reliability and safety of the electrical grid by monitoring its electrical, physical, and environmental parameters. Our advanced platform leverages high-precision sensors to identify potential issues early, facilitating proactive maintenance and minimizing outages. Backed by leading climate-tech and Silicon Valley investors, we are poised to make a significant impact in the energy sector. For more insights on our work, visit www.Gridware.io.Role Overview:We are looking for a talented Senior Applied Scientist with a strong background in machine learning and digital signal processing (DSP). In this role, you will be responsible for designing sophisticated models that operate on diverse time-series sensor data within resource-constrained environments. Your work will involve developing algorithms that optimize for accuracy while adhering to strict power and memory constraints, thereby advancing Gridware’s edge intelligence capabilities. This position requires a blend of applied research, model optimization, and close collaboration with hardware and firmware teams to implement low-level solutions.

Join a cutting-edge team at Coframe where you will play a pivotal role in revolutionizing growth engineering. We are seeking a passionate and resourceful Growth Engineer who thrives in fast-paced environments and prioritizes customer satisfaction. This is not just another job; this is an opportunity to be a foundational member of a trailblazing organization that is creating the world's first AI growth engineer.Your daily tasks will involve designing and scaling our innovative offerings, influencing product direction, and shaping the future of growth engineering. We're looking for someone who has a proven track record of developing high-quality, complex, and maintainable products at an accelerated pace, leveraging the latest advancements in code generation. Your expertise will not only contribute to building our products but will also empower our AI systems to optimize growth engineering strategies for our clients."You guys are insane." - OpenAI team

Company OverviewAt Echo Neurotechnologies, we are a pioneering startup in the Brain-Computer Interface (BCI) domain, committed to spearheading advancements through state-of-the-art hardware engineering and AI innovations. Our vision is to create transformative technologies that empower individuals living with disabilities, enhancing their autonomy and overall quality of life.Team CultureBecome part of a passionate and dedicated team where your expertise is valued. In our dynamic early-stage environment, you will have the chance to influence key decisions that lead to significant, long-term impacts. We prioritize continuous learning and development, encouraging cross-functional collaboration where your contributions play a crucial role in our success.Job SummaryWe are on the lookout for a skilled Applied AI Scientist to join our innovative team. The successful candidate will harness machine learning (ML) and artificial intelligence (AI) methodologies to analyze extensive datasets of time-series data and their accompanying metadata, crafting sophisticated encoding and decoding models to decode brain activity. This work will not only propel scientific advancements but also translate into impactful solutions for patients with physical disabilities.Key ResponsibilitiesDevelop models for brain data and metadata to derive insights from both existing and future datasets, establishing high-performance inference and translation pipelines.Design and implement cutting-edge transformers and other ML models to translate brain signals into control commands for digital devices.Stay abreast of the latest AI methodologies, rapidly evaluating their applicability and effectiveness through prototypical assessments with company datasets.Collaborate effectively within a small team to refine models, design the data-science platforms, and integrate ML models into our product applications.Ensure that all code, analysis pipelines, and results are versioned, well-documented, and highly interpretable for maximum reproducibility.Assist in creating documentation for our Quality Management System, specifically related to ML implementations that will be incorporated into medical products.

About UsAt Applied Compute, we specialize in developing Specific Intelligence tailored for enterprises. Our innovative agents are designed to continuously learn from a company’s processes, data, expertise, and objectives. Currently, there exists a significant disparity between the capabilities of AI models in isolation and their reliable performance within real business environments. These systems often fail to adapt to feedback. We are creating a continual learning layer: a robust platform that captures context, memory, and decision-making traces throughout the enterprise, fostering an environment where specialized agents can effectively perform real work.Why Join Us? We are at a unique crossroads in technology. Our product team is focused on developing the platform that will enable a new generation of digital coworkers. Our research team is at the forefront of advancing post-training and reinforcement learning, leading to groundbreaking product experiences. Our applied research engineers work closely with customers, assisting them in deploying models into production. This blend of strong product focus, deep research, and direct customer engagement is our belief in how to advance AI in the enterprise. We take pride in being product-led, research-enabled, and forward-deployed.Our Culture: Our team is composed of engineers, researchers, and operators, many of whom are former founders. We have developed RL infrastructure at OpenAI, created data foundations at Scale AI, and built systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, as well as companies like DoorDash, Mercor, and Cognition. We are fortunate to have backing from leading investors such as Benchmark, Sequoia, and Lux.Ideal Candidates: We are seeking individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel at ease navigating unfamiliar environments—be it a new codebase, a customer’s data architecture, or an entirely new problem domain. A genuine enjoyment in working with customers—listening, empathizing, and understanding their workflows—is essential. We find that former founders, individuals with numerous side projects, or those who have demonstrated an ability to take ownership of projects from start to finish thrive in our environment.The RoleAs a Product Engineer, you will be instrumental in building the platform that supports a new era of digital coworkers, equipping human knowledge workers with the leverage similar to what coding agents provide developers today. This role is pivotal as you will manage projects from inception to completion within our continual learning platform and work closely with both Applied Research and Research Systems, ultimately helping define a new category of technology. Your work will encompass the entire technology stack, including cloud-hosted sandbox environments and enterprise-grade solutions.

Join Us in Shaping the Future of AI!If you are passionate about our innovative work but don't see a specific role that fits your profile, we encourage you to apply here. At Applied Compute, we prioritize collaborating with exceptional individuals who resonate with our mission.About UsWe specialize in developing Specific Intelligence for enterprises, creating agents that perpetually learn from a company's processes, data, expertise, and objectives. Despite advancements in AI, there remains a significant disparity between the capabilities of AI models in isolation and their performance within real-world business contexts. Our solution is to build a continual learning layer—a platform that captures context, memory, and decision pathways across enterprises, enabling specialized agents to effectively perform tasks.Our ExcitementWe operate at an extraordinary intersection of innovation. Our product team designs the platform that fuels a new generation of digital colleagues, while our research team explores the cutting-edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with customers to implement models in production. This unique blend of strong product focus, in-depth research, and hands-on engagement with customers is essential for integrating AI into enterprises. We pride ourselves on being product-led, research-enabled, and forward-deployed.Our TeamOur team comprises engineers, researchers, and operators, many of whom are former founders. We have experience building RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are supported by renowned investors like Benchmark, Sequoia, and Lux.Who Thrives HereWe seek individuals eager to apply groundbreaking research and complex systems to tackle real-world challenges. You should be adept at quickly navigating unfamiliar environments, whether it's a new codebase, a customer's data architecture, or an entirely new problem domain. A genuine passion for working with customers—listening, empathizing, and understanding their organizational workflows—is essential. Those with a background as former founders, experience in numerous side projects, or a strong ability to manage tasks end-to-end typically excel in our environment.

WHO WE AREAt Applied Compute, we are pioneering the development of Specific Intelligence tailored for enterprises. Our innovative agents continuously learn from a company’s processes, data, expertise, and goals, creating a dynamic learning layer that captures context, memory, and decision traces. This empowers specialized agents to tackle real-world tasks effectively.Why We're Excited: We operate at a unique convergence of technology and practical application. Our product team is responsible for developing the platform that drives a new generation of digital coworkers. Simultaneously, our research team explores the cutting-edge of post-training and reinforcement learning to craft exceptional product experiences. Our applied research engineers work closely with clients to deploy agents into production, ensuring that we combine strong product development with deep research and hands-on implementation.Our Team: We are a diverse group of engineers, researchers, and operators, many of whom are former founders. Our backgrounds include building reinforcement learning infrastructure at OpenAI, data foundations at Scale AI, and operational systems at other leading tech companies. We are proud to collaborate with Fortune 50 customers and are supported by top-tier investors like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. Candidates should be adept at quickly navigating unfamiliar environments—be it a new codebase, a client's data architecture, or a novel problem domain. Our team values empathy and understanding in our customer interactions, so those who enjoy listening, learning, and delivering results tend to excel here.THE ROLEAs a Forward Deployed Engineer, you will engage directly with customers to deploy and integrate our platform within their technical environments. You will be responsible for constructing the infrastructure and tools necessary to transform research into production systems. This role requires ownership of customer engagements from start to finish, including architecting environments, building large-scale data pipelines, creating evaluation frameworks for model training, and ensuring our platform delivers scalable value.

Join Demandbase as an Applied AI Scientist, where you'll have the opportunity to push the boundaries of AI technology in a dynamic and innovative environment. As a key member of our team, your role will involve developing and implementing advanced AI solutions that drive impactful business results.We're looking for a passionate individual who thrives on solving complex problems and is eager to contribute to AI advancements. You will collaborate with cross-functional teams to integrate AI models into our existing frameworks and enhance our product offerings.

As a Senior Product Designer at Coframe, you will be at the forefront of creating exceptional user experiences within a dynamic and innovative environment. You have honed your design skills within a high-growth organization and are eager to contribute to a team that values speed, creativity, and customer-centric solutions. This is more than just another design role; it's an opportunity to be a pivotal member of a pioneering company that is redefining generative UI and design.Your daily responsibilities will involve developing and expanding our product offerings, influencing the strategic direction of our solutions, and shaping the future landscape of generative UI. We are seeking a designer who can navigate complexity while ensuring ease of use, coupled with a deep understanding of user needs and behaviors.Your expertise will not only contribute to our product development but also enhance our AI systems, enabling them to perform design engineering tasks for our clients.

At Coframe, we are pioneering the development of the world's first AI Growth Engineer. We envision a future where user interfaces transform from static code into dynamic entities that adapt, evolve, and personalize in real-time.Why Join Coframe:Exclusive Partnership with OpenAI: We stand as the sole marketing technology firm officially partnered with OpenAI. Our engineers collaborate directly with their team to co-train a model tailored for our unique applications, showcasing the exceptional technical expertise of our team.Backed by Leading Investors: Our vision is supported by top-tier investors including Khosla Ventures, Nat Friedman (former GitHub CEO), and Rich Miner (co-founder of Android). Joining now provides a rare opportunity to be part of our journey before our Series A funding round.Remarkable Team: Our founder is a seasoned entrepreneur with a track record of co-founding a unicorn alongside Tom Brady and guest lecturing on AI at Stanford. Our team also includes researchers from prestigious institutions behind some of the most popular open-source code generation projects globally.Proven Success: Our flagship product utilizes proprietary generative AI technology that empowers our AI Agents to autonomously design, code, debug, and execute A/B tests and personalization campaigns. We have significantly increased testing speed, achieving $112.4M in incremental revenue for our customers within just six months.Your Role:Ensure Customer Success: Take charge of customer outcomes from onboarding through renewal and expansion, guaranteeing that clients achieve measurable ROI from Coframe.Facilitate Product Adoption: Lead onboarding processes, conduct business reviews, and proactively seek ways to enhance product adoption and testing velocity within customer organizations.Advocate for Customers: Act as the internal voice of the customer, collaborating with Product, Engineering, and Research teams to translate customer insights into actionable roadmap priorities.Drive Revenue Growth: Identify and capitalize on upsell and cross-sell opportunities within your portfolio, taking ownership of net revenue retention targets.Develop Best Practices: Aid in defining and refining Customer Success Manager processes, ensuring best practices are established and followed.

Coframe seeks Agent Engineers based in the SF Bay Area to design and build scalable systems focused on generating, testing, and monitoring user interfaces. This position centers on delivering reliable solutions that support a range of products and platforms. Key responsibilities Develop systems that create consistent, production-ready experiences for multiple platforms Implement automated tools for quality assurance and interface monitoring Enable rapid experimentation and ongoing optimization Role impact Agent Engineers at Coframe play a direct role in improving optimization, accelerating experimentation, and achieving measurable results across various products and platforms.

Join our dynamic team at mindlance2 as an Associate Scientist. In this pivotal role, you will contribute to groundbreaking research and development projects, collaborating with a talented group of professionals dedicated to innovation and scientific advancement.As an Associate Scientist, you will engage in experimental design, data analysis, and interpretation of results, ensuring the highest standards of scientific integrity. This position offers an exciting opportunity to grow your skills and make significant contributions to our projects.

Join Mercor as a Data ScientistAt Mercor, we stand at the forefront of labor markets and artificial intelligence research. We collaborate with top-tier AI laboratories and businesses to infuse the human intelligence crucial for the evolution of AI.Our expansive talent network empowers frontier AI models, mirroring the way educators impart knowledge: sharing insights and experiences that transcend mere coding. Currently, our network boasts over 30,000 experts generating more than $2 million daily.We are pioneering a new work paradigm where specialized expertise drives AI progress. To realize this vision, we seek a dynamic, fast-paced, and dedicated team. You will collaborate with leading researchers, operators, and AI companies, playing a pivotal role in the systems that are reshaping society.As a profitable Series C company, Mercor is valued at $10 billion and operates from our new headquarters in San Francisco with an in-office work schedule five days a week.Your RoleIn your first year, you will implement analyses and experiments that enhance key product metrics, including match quality, time-to-hire, candidate experience, and revenue. Your responsibilities will include:Establishing north-star and feature-specific metrics for our ranking systems, interview analytics, and payout frameworks.Designing and executing A/B tests and quasi-experiments, translating results into product decisions within the same week.Creating source-of-truth dashboards and streamlined data models to enable teams to self-serve answers.Collaborating with engineers to instrument events, enhancing data quality and latency from ingestion to insights.Rapidly prototyping models (from baseline models to gradient boosting) to optimize matching and scoring.Assisting in the evaluation of LLM-powered agents through the design of rubrics, human-in-the-loop studies, and guardrail mechanisms.What Makes You a Great FitYou possess strong foundational skills in statistics, SQL, and Python, alongside projects you are eager to showcase. You adapt swiftly, frame inquiries, test hypotheses, and deliver results within a day, valuing clarity in communication as much as statistical significance. A keen interest in LLM evaluation, retrieval, and ranking is a plus; you will learn alongside professionals from renowned firms such as Jane Street, Citadel, Databricks, and Stripe.