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Experience Level
Entry Level
Qualifications
The ideal candidate will possess strong programming skills, experience in software development, and familiarity with AI technologies. A Bachelor's Degree in Computer Science or a related field is preferred, along with a collaborative mindset and a willingness to learn.
About the job
fractional-ai is hiring a Software Engineer to join the team onsite in San Francisco. This role centers on building and improving technology that advances artificial intelligence.
Role overview
As a Software Engineer, you will work closely with others to develop and support projects that drive the company’s AI initiatives forward. The work involves collaborating with colleagues and contributing technical solutions in a team setting.
What you will do
Develop software for AI-driven projects
Collaborate with team members in the San Francisco office
Contribute ideas and technical expertise to ongoing initiatives
Requirements
Interest in technology and artificial intelligence
Ability to work onsite in San Francisco
Strong motivation to learn and contribute to team projects
About fractional-ai
fractional-ai is at the forefront of AI technology, delivering cutting-edge solutions that help businesses thrive. Our team is comprised of talented professionals dedicated to innovation, collaboration, and excellence.
About Our TeamJoin our AI Success team, where we empower organizations to transform cutting-edge AI technology into real-world business benefits. We facilitate the large-scale adoption of OpenAI solutions, guiding clients from initial engagement through to significant, measurable organizational impact. Collaborating closely with Sales, Product, Solutions Arc…
About Our TeamJoin the innovative AI Success Engineer team at OpenAI, where we collaborate with forward-thinking organizations to harness the transformative power of artificial intelligence. Our mission is to ensure that cutting-edge AI technologies translate into tangible business outcomes, guiding clients from initial deployment to extensive enterprise adoption. Our expertise encompasses technical integration, workflow transformation, and ongoing program and product delivery.We work with a diverse clientele, including rapidly growing digital companies, established global enterprises, government bodies, and educational institutions. Each engagement offers a chance to influence the impact of AI on work processes, productivity, and innovation. This role is pivotal to our vision.About the RoleAs an AI Success Engineer, you will serve as the primary post-sales contact for OpenAI’s key clients. Your role involves ensuring account health, promoting user adoption, ensuring technical readiness, uncovering new use cases, and delivering significant value through our rapidly expanding platform.This position combines technical expertise, program management, customer advisory, and product influence. You will engage deeply with customer teams, analyze workflows, lead configurations, manage deployment plans, and guide clients to impactful use cases that highlight the full potential of our solutions.Collaboration is key; you will work closely with Sales, Solutions Architecture, Product, and Research teams to ensure a seamless and successful customer experience at every interaction. Success in this position means accelerating adoption rates, enhancing customer engagement, facilitating strategic use cases from concept to production, and enabling clients to demonstrate measurable business results.This position is based in San Francisco (in-office three times a week), and we provide relocation assistance for new hires.Key Responsibilities:Develop and maintain strong technical relationships with post-sale clients, serving as their trusted advisor on deployment, adoption, and value realization.Oversee account health, user adoption rates, and continuous technical deployment success within your portfolio.Become an expert in OpenAI's suite of products, including our API, Codex, and ChatGPT Enterprise, conducting technical enablement and configuration sessions.Identify and validate potential use cases by collaborating closely with customer teams to assess workflows and pain points.
About Our TeamAt OpenAI, our AI Success Engineer team collaborates with the most forward-thinking organizations to convert groundbreaking AI advancements into tangible business outcomes. We support our clients from their initial deployment through to extensive enterprise integration. Our contributions encompass technical integration and enablement, workflow innovation, and ongoing program and product execution.Our clientele includes dynamic digital startups as well as major global corporations, government entities, and educational institutions. Each engagement provides a chance to influence how AI transforms work, enhances productivity, and drives innovation. This position is pivotal to our mission.Role OverviewAs an AI Success Engineer, you will be the primary point of contact for OpenAI's key customers post-sale. Your responsibilities will include enhancing account health and adoption, ensuring technical readiness, identifying new applications, and delivering measurable value using OpenAI's rapidly evolving platform.This position requires a blend of technical expertise, program management, customer advisory, and product influence. You will closely collaborate with customer teams to map workflows, lead configuration efforts, supervise deployment strategies, and guide customers toward impactful use cases that demonstrate the full potential of our platform.Collaboration with Sales, Solutions Architecture, Product, and Research teams will be essential to provide a seamless and successful experience for customers at every interaction. Success in this role entails accelerating adoption rates, deepening customer activation, guiding strategic use cases into production, and helping customers achieve measurable business results.Your Responsibilities Include:Overseeing post-sale technical success, adoption, and value realization across a diverse customer portfolio, leveraging customer insights, product signals, and business impact to determine priority engagement areas.Serving as a trusted advisor regarding deployment health, adoption strategies, and value realization for ChatGPT, API, Codex, and related capabilities.Analyzing logs, telemetry, usage patterns, and customer feedback to diagnose issues, form hypotheses, and provide actionable recommendations on latency, reliability, model selection, prompting, cost efficiency, and rollout preparedness.Leading targeted interventions for critical moments such as launches, risk signals, escalations, renewal preparation, and high-potential expansion opportunities.Translating customer objectives into practical, effective strategies.
About the TeamJoin the AI Success Engineering team, where we transform innovative AI technologies into impactful enterprise solutions. Collaborating closely with our clients, we guide them from initial experimentation to substantive real-world transformations, focusing on adoption, technical preparedness, and long-term value realization. Our team is pivotal in accelerating the deployment of AI products in production, ensuring they deliver measurable business results. We work in synergy with Sales, Solutions Architecture, Technical Success, and Product teams to safely and successfully bring leading-edge AI solutions to market.About the RoleWe are in search of a seasoned technical leader to oversee and expand a high-performing team of AI Success Engineers. This team is responsible for ensuring post-sale technical success for ChatGPT Enterprise, facilitating customer onboarding, activation, and adoption through structured programs, enablement initiatives, and change-management strategies.AI Success Engineers are highly technical and hands-on, assisting customers with advanced capabilities including connectors, Codex, custom GPTs, and other cutting-edge features upon their release. They collaborate closely with client stakeholders to guarantee effective deployment, widespread adoption, and tangible business outcomes.In this leadership role, you will shape team strategy, ensure robust execution and technical excellence, and create frameworks that promote scalability, consistency, and operational superiority—while maintaining close connections with customers and the field.This position is based in San Francisco and follows a hybrid work model, requiring three days per week in the office. Some regional travel will be required.Key ResponsibilitiesDevelop and implement the strategy and operational framework for the AI Success Engineering team, ensuring alignment with OpenAI's goals and customer requirements.Recruit, lead, mentor, and nurture a high-performing team of AI Success Engineers with solid technical capabilities and a focus on customer impact.Oversee the successful post-sale adoption of OpenAI products across various sectors, including enterprises, digital-native companies, and high-growth organizations.Ensure technical readiness and effective adoption of advanced OpenAI capabilities, collaborating closely with clients on practical applications.Advocate for customer perspectives to inform product development and commercial strategies.Establish operational rhythms, such as leadership updates and knowledge-sharing platforms, to enhance team effectiveness.
Join a pioneering team of former Google engineers who have developed ground-breaking defensive technologies, such as Safe Browsing and reCAPTCHA. We are on a mission to confront an urgent challenge: combating the rising tide of adversarial AI attacks that threaten organizations globally.Operating in stealth mode, we are targeting a lucrative $5B+ market that is primed for innovation. Conventional detection methodologies are proving inadequate against the speed and sophistication of AI-driven assaults. Current adversaries are leveraging AI to engineer tailored, high-evasion attacks, leaving traditional systems vulnerable.Your Role:You will design a network of AI agents that are rapid, cost-effective, and precise, collaborating to identify and neutralize emerging threats. Your work will dive deep into real-time threat data, continuously evolving your agents in a fast-paced environment. These agents will function under an orchestration layer that fosters quick adaptation and learning.The Excitement of the ChallengeRapidly Evolving Models: The landscape changes daily; solutions that worked yesterday may be outdated today.Intelligent Adversaries: We are engaged in a real-time arms race against cunning, AI-enhanced attackers crafting sophisticated payloads.No Existing Playbook: We are forging new detection paradigms as swiftly as threats evolve. This high-stakes work places you in the heart of the action from day one.If you thrive on solving challenging problems with rapid feedback, this is your opportunity.Why We Are Positioned to SucceedExpansive Market: The market is vast at $5B and expanding quickly, while established players struggle to adapt.Proven Track Record: Our team has previously developed the foundational technology for Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our time at Google.Experienced Team: This is our third endeavor in creating a category-defining security enterprise, and we know how to scale our technology and our organization effectively.Deeply Integrated AI and Security: We embed AI from the outset rather than layering it on top.Top Talent: We hire only the highest achievers; many on our team were in the top 1% of engineers at Google. If you excelled in your previous role, you will fit right in.Agility: We prioritize speed and efficiency in everything we do.
Join Our Innovative Team at Simple AIAt Simple AI, we are transforming enterprise communications through cutting-edge voice AI agents. Our highly realistic agents empower leading companies such as DoorDash, xAI, and Omaha Steaks to efficiently manage a variety of phone operations, including customer support, order processing, and lead qualification.As we experience exponential growth and a surge in customer demand, we are seeking a few founding software engineers to help us navigate this exciting journey and develop systems for the future. Our passionate team operates from our vibrant San Francisco office five days a week, driven by a shared vision of leveraging AI to make a significant impact in the world.We are proud to be backed by esteemed investors and operators, including Y Combinator, Massive Tech Ventures, and industry leaders such as Michael Seibel (Twitch), Jared Friedman (Scribd), and more.
fractional-ai is hiring a Software Engineer to join the team onsite in San Francisco. This role centers on building and improving technology that advances artificial intelligence. Role overview As a Software Engineer, you will work closely with others to develop and support projects that drive the company’s AI initiatives forward. The work involves collaborating with colleagues and contributing technical solutions in a team setting. What you will do Develop software for AI-driven projects Collaborate with team members in the San Francisco office Contribute ideas and technical expertise to ongoing initiatives Requirements Interest in technology and artificial intelligence Ability to work onsite in San Francisco Strong motivation to learn and contribute to team projects
Role OverviewLocation: San Francisco, CA Work Model: In-officeAbout Effective AIAt Effective AI, we are pioneering the future of work, focusing on sophisticated AI solutions for complex knowledge tasks rather than simple, repetitive functions. Our goal is to develop advanced AI Teammates that excel in intricate workflows and collaborate seamlessly with human professionals. Our initial challenge is to revolutionize the trillion-dollar U.S. Property & Casualty insurance sector, an area rich in data and complexity, ideal for our innovative approach.We have successfully secured $10 million in seed funding from prominent investors including Lightspeed Ventures and Valor Equity Partners.Our passionate team operates out of San Francisco, where we value in-person collaboration to address these pressing challenges.Your ResponsibilitiesAs a Founding Software Engineer, you will be an integral member of our founding team, significantly influencing the design and development of our core product from inception. You will confront critical challenges in agentic AI, crafting Teammates capable of managing essential insurance functions such as underwriting and claims processing.Specifically, you will:Facilitate long-term task completion by creating the foundational architecture for AI agents to plan and execute multi-step processes reliably over prolonged interactions.Develop advanced reasoning functionalities, enabling agents to make informed decisions based on ambiguous or incomplete information, akin to human experts.Create intelligent, tool-utilizing agents capable of selecting and employing a variety of external tools—APIs, databases, web searches, and Excel-based pricing algorithms—to gather information and take decisive actions.Design adaptive and learning systems, equipping our AI Teammates to learn from feedback and adjust to evolving conditions such as regulatory changes or market dynamics.Your ProfileWe seek an innovative and driven builder excited to tackle substantial challenges.You possess a solid foundation in computer science and remarkable problem-solving capabilities, evidenced by impactful projects or previous experience.Your genuine enthusiasm for AI fuels your passion for tackling complex issues.
Saris AI develops advanced AI automation for the banking sector, with teams in San Francisco, Montreal, and Toronto. The company addresses large-scale automation challenges, focusing on long-context reasoning, integrating with legacy systems, and meeting strict compliance needs. Saris AI’s AI agents are already active in production, supporting real customer workflows as the business expands. Role overview The San Francisco engineering team is seeking an Engineering Manager. This leader will guide engineers through shifting priorities and frequent ambiguity. The position involves building and leading teams, managing projects from concept to launch, and ensuring the delivery of reliable software that powers AI-driven products. What you will do Build and lead engineering teams focused on automation and AI Oversee software projects from initial idea through production launch Adapt to changing requirements and priorities as the company grows Address the technical challenges unique to deploying software in AI systems Requirements Proven experience building and leading engineering teams History of delivering software projects from start to finish Comfort working in environments where priorities and requirements shift quickly Understanding of the complexities involved in AI-driven software deployment Location This role is based in San Francisco.
About the RoleWe are on the lookout for a skilled Forward Deployed AI Engineer to join our dynamic team at Stack AI. This position is crucial for implementing enterprise-level AI solutions with an emphasis on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows. Your contributions will significantly enhance our offerings to Fortune 500 companies and enterprises across diverse sectors.Role Overview:In this role, you will seamlessly integrate large language models into enterprise systems, collaborating with strategic accounts to tailor solutions that meet their technical needs. Utilizing the Stack AI platform, you’ll engage with clients to co-create innovative solutions that address their evolving challenges.Key Responsibilities:Enhance and maintain solutions for strategic accounts using the Stack AI platform.Analyze and document requirements and relationships within target enterprise offices.Identify opportunities and provide insights to shape our go-to-market strategy.Directly contribute to the Stack AI codebase, transforming customer feedback into enhancements for the Python backend and React/Next.js TypeScript frontend.Project future opportunities and secure high-value contracts.Draft proposals, present to stakeholders, and lead engaging product demonstrations.Promote Stack AI at enterprise conferences and events.
About David AIDavid AI is pioneering the audio data research landscape, applying a rigorous R&D approach to dataset development akin to the methodologies used in AI labs for model creation. Our goal is to integrate AI seamlessly into real-world applications, with audio serving as the perfect entry point due to its inherent versatility and human connection. As the audio AI field progresses, the demand for high-quality training data becomes critical, and that's where David AI excels.Founded in 2024 by a team of experienced engineers and operators from Scale AI, David AI has quickly gained traction, serving prominent clients among FAANG companies and AI research labs. Recently, we secured a $50M Series B funding round from esteemed investors including Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, and First Round Capital.Our team embodies intelligence, humility, ambition, and a close-knit ethos. We are on the lookout for exceptional talent in research, engineering, product, and operations to join us in advancing the frontiers of audio AI.About Our Engineering TeamAt David AI, our engineering team is responsible for constructing the pipelines, platforms, and models that convert raw audio into valuable data for top AI labs and enterprises. We pride ourselves on our collaborative environment, comprising product engineers, infrastructure specialists, and machine learning experts dedicated to leading the charge in audio data research.We operate at a fast pace, taking ownership of our projects from conception through to production. Our team develops real-time processing pipelines capable of managing terabytes of audio data daily while deploying innovative generative audio models.About This RoleAs a Product Engineer at David AI, you will design and implement state-of-the-art tools that enable our users to leverage audio data effectively for training their AI models. You will collaborate closely with researchers to continuously refine our data collection methodologies.Your ResponsibilitiesDeliver full-stack features that will be utilized by thousands of users on a daily basis.Develop scalable systems that create essential data processing pipelines, extracting actionable insights from terabytes of audio data each day.Construct, deploy, and assess LLM and DSP-based solutions to enhance our clients' comprehension of intricate features within our datasets.Rapidly iterate on research hypotheses by collaborating with researchers and the operations team to deploy enhancements efficiently.
About Simple AIAt Simple AI, we are pioneering cutting-edge voice AI solutions tailored for enterprises. Our lifelike voice agents empower renowned companies such as DoorDash, xAI, and Omaha Steaks in managing diverse phone operations ranging from customer support to order intake and lead qualification. As we experience rapid revenue growth, we seek a couple of founding software engineers to help us meet current customer demands while developing innovative systems for the future. Our team is passionate about harnessing AI to transform the world, and we operate from our San Francisco office five days a week.Simple AI is proudly supported by top-tier investors and industry leaders, including Y Combinator, Massive Tech Ventures, and prominent figures like Michael Seibel (co-founder of Twitch), Jared Friedman (Scribd), Alexandr Wang (Scale AI), Matt Van Horn (June Oven and Lyft), Suhail Doshi (Mixpanel), JJ Fliegelman (WayUp), and Scott Wu (Cognition).Meet the FoundersThe founders, Catheryn Li and Zach Kamran, previously led software teams at Y Combinator, where they launched numerous products for YC founders, including the co-founder matching site. Cat brings experience from Instagram and Facebook and holds degrees in mathematics and computer science from MIT. Zach studied computer science and statistics at the University of Chicago and led software initiatives at PEAK6.What We ProvideCompetitive salary with significant equity opportunitiesEmployee-friendly equity termsOffice located in San FranciscoComprehensive health, dental, and vision insuranceComplimentary lunch and dinner at the officeFree Uber rides home after 8:30 PMRegular team events and offsite activitiesYour Qualifications4+ years of relevant software engineering experience.Exceptional problem-solving skills and a passion for tackling technical challenges.A customer-centric mindset coupled with strong communication skills and a keen interest in product design and prioritization.Self-motivated with the ability to work independently.A genuine enthusiasm for continual learning and keeping abreast of the latest advancements in AI.
Responsibilities:Develop Our Product. Take ownership of software features that enhance our AI platform, empowering private market investors to analyze deals swiftly and accurately. This role requires you to actively engage in coding and delivering essential platform components from the ground up.Ensure Quality and Excellence. Establish and maintain coding standards, architectural guidelines, and review procedures; mentor fellow engineers. Co-cultivate a culture centered on practical, reliable, and test-driven development that swiftly meets business requirements.Scale for Growth. Assist in monitoring and scaling the architecture of our platform and its infrastructure.Collaborate Across Functions. Engage closely with product, security, and go-to-market teams to translate our strategic roadmap into actionable features and deliverables.
About Vooma Vooma is building automation-focused enterprise software, moving beyond traditional systems of record. The team develops LLM-powered agents and orchestrators that handle complex business tasks alongside people, aiming to boost autonomy and efficiency in daily operations. The company’s current mission centers on creating an AI orchestration platform tailored for the US trucking industry, which moves over $800 billion in goods each year. Although trucking is essential to the economy, much of logistics still relies on manual work, making it a strong fit for AI-driven solutions. Vooma’s products help shippers, freight brokers, and trucking companies win more business and manage freight operations more smoothly. AI agents automate critical workflows across voice, email, and SMS, supporting the full load lifecycle. Vooma is backed by Index Ventures, Craft Ventures, Y-Combinator, and leaders from the logistics sector. Role Overview: AI Engineer The founding team is looking for an AI Engineer to help train and refine advanced models for real-world use. This role focuses on applied AI, where new capabilities are transformed into reliable, high-performing systems that make a measurable difference. Success in this position comes from a strong grasp of model behavior and a talent for building systems that improve through structured data feedback loops. The right person enjoys rapid deployment, learning from real-world usage, and iterating toward highly effective solutions. Location This role is based in Vooma’s San Francisco office.
Why Choose FluxAt Flux, we are revolutionizing the hardware landscape by introducing the world's first AI Hardware Engineer. Our mission is to democratize cutting-edge hardware creation and transform the way electronics are designed and manufactured globally.Role OverviewWe are seeking a forward-thinking, technically inclined individual to serve as one of our pioneering Customer Success Engineers. In this role, you will collaborate closely with product, design, engineering, and growth teams, concentrating on empowering customers to successfully utilize Flux for their electronic design needs. Your responsibilities will include delivering training, troubleshooting issues, and translating customer feedback into actionable insights that will inform our future direction.Key ResponsibilitiesConduct technical onboarding and training for new customers, guiding them through Flux’s design environment to ensure they quickly achieve their first significant breakthrough.Analyze and resolve electrical design challenges and application issues, utilizing your Electrical Engineering expertise to lead users to successful solutions.Create educational materials—such as documentation, videos, and sample designs—to enhance knowledge sharing throughout our community.Collect and synthesize customer feedback to shape product priorities and enhance our platform.Work in tandem with engineering and product teams to triage bugs and implement customer-requested features.Foster and maintain robust relationships with customers, acting as their trusted advisor and advocate within Flux.Examine usage data to identify friction points or potential churn and collaborate with cross-functional teams to mitigate these issues.Who You AreYou hold a degree in Electrical Engineering or a related discipline and possess experience in designing PCBs or electronic systems.You have a minimum of 3 years of experience in customer-facing technical roles, including customer success, solutions engineering, or field applications engineering.You are enthusiastic about helping others and can clearly articulate complex technical concepts into actionable guidance.You are adept at troubleshooting circuit designs and can explain trade-offs to both technical and non-technical audiences.You excel in dynamic, fast-paced startup environments and enjoy the challenge of ambiguity.
About FinchAt Finch, we are dedicated to transforming the world of work by creating the essential infrastructure that supports every aspect of employment. We seek innovative thinkers who approach challenges with a comprehensive perspective, possess a relentless curiosity, and are proactive self-starters committed to bringing ideas to fruition.As a Series B company, Finch enjoys the backing of a distinguished group of investors and advisors, including General Catalyst, Menlo Ventures, and YCombinator, among others.About Our TeamOur team is composed of dynamic problem solvers who are not afraid to question the status quo. We cherish speed, inquisitiveness, empathy, and diverse viewpoints. Every team member is enthusiastic about tackling complex challenges and the significant impact our efforts can have on the global workforce. We recognize the immense responsibility that comes with the value we deliver, which is why security and privacy are our top priorities.We come from a variety of backgrounds, each contributing unique skills to our collective expertise. We encourage applicants regardless of whether their experience aligns perfectly with the job description. Your skills and potential are what truly matter, particularly if your career path has been unconventional.About the RoleAs a Developer Success Engineer (DSE), you will manage the post-sale technical relationship with our customers. You will proactively assist them from the initial API integration to the ongoing optimization of their employment data processes.Your responsibilities will include driving increased product usage, advising on integration strategies, and conducting architectural assessments to minimize friction, identify new use cases, and enhance product adoption.DSEs are pivotal to the customer experience, acting on product feedback, revealing roadmap opportunities to the Engineering and Product teams, contributing to developer resources, and collaborating with Sales and Marketing to relay insights gathered from the field. You will establish and disseminate best practices and play a crucial role in the evolution of the employment data ecosystem.
Overview: Join strala-ai as we redefine the insurance industry using cutting-edge technology.In just under a year, strala-ai has achieved impressive multi seven-figure ARR and is experiencing rapid growth at 50% month-over-month. We are backed by top-tier investors, including Peter Thiel’s Founders Fund, and led by partners with strong ties to OpenAI, Cognition, and Scale AI. Our talented team hails from prestigious institutions such as Harvard, Berkeley, and Oxford, and includes professionals from leading firms like Optiver, AMD, and Palantir, many with backgrounds in ICPC and NeurIPS.Key Responsibilities:Lead the deployment of multi-modal, agentic AI systems in production, ensuring significant business outcomes. You will manage client deployments from start to finish, being the key liaison for senior client stakeholders.Develop and nurture client relationships by understanding their challenges and aligning on priorities, establishing yourself as the trusted advisor for AI adoption.Create, build, and enhance AI agents that optimize claims outcomes through prompt engineering, model integration, and rapid prototyping using AI-assisted coding tools.Engage with applied AI daily, scoping and developing new features to support our customers in scaling and improving claims results.Integrate our solutions into client environments, collaborating directly with their technical teams on APIs and systems.Coordinate with our core platform team to facilitate smooth delivery, providing actionable insights for product enhancement.Document and share best practices in internal playbooks to scale our Forward Deployed Engineering efforts effectively.Ideal Candidate:Exhibit a founder's mindset, taking ownership of challenges, acting swiftly, and finding solutions, whether that means engaging in client calls or executing quick integrations.Possess over 2 years of experience in a role that merges technical expertise with client-facing responsibilities (e.g., agent engineering, forward deployed engineering, growth engineer, or founding engineer/founder).Demonstrate a strong technical foundation with proficiency in Python, APIs, cloud platforms, and modern AI/ML tools.Familiarity with LLMs, prompt engineering, and agentic AI concepts, as well as comfortability with AI-assisted development workflows for rapid solution delivery.Excel in articulating complex concepts to non-technical stakeholders.
Join the Revolution at Retell AIRetell AI is pioneering the future of call centers through innovative voice AI, driven by first principles thinking.In just 18 months since our inception, we have empowered thousands of businesses with our AI voice agents, transforming how sales, support, and logistics calls are managed—previously requiring extensive human teams. Supported by prestigious investors such as Y Combinator and Alt Capital, we've rapidly scaled from $5M ARR to an impressive $36M ARR with a compact yet dynamic team of 20.Our ambition for 2026 is to create a revolutionary customer experience platform, where entire contact centers are powered by AI. Moving beyond basic automation, we aim to develop intelligent AI “workers” that serve as frontline agents, QA analysts, and managers, continuously enhancing customer interactions without the need for constant human oversight.As we expand, we are seeking passionate engineers who are eager to solve challenging technical problems, act swiftly, and make a significant impact in one of the fastest-growing voice AI startups. Let’s shape the future together.
About UsAt Reducto, we empower AI teams to seamlessly process real-world enterprise data with unparalleled precision. We specialize in transforming unstructured documents, such as PDFs and spreadsheets, into structured data that can be utilized effectively across various applications.Our innovative vision models mimic human reading capabilities, allowing businesses to automate processes, enhance product development, and train sophisticated AI models using their data. In just one year, we have scaled from zero to mid-7 figure ARR and now partner with a diverse range of clients, from top AI teams like Harvey and Vanta to prestigious enterprises including FAANG and elite trading firms.With over $100M raised from industry-leading investors such as a16z, Benchmark, and First Round Capital, Reducto is on a trajectory of rapid growth and innovation.The OpportunityAs our inaugural Customer Success Manager, you will have the unique opportunity to shape and establish our customer success function. You will manage a portfolio of high-value clients, focusing on improving logo retention and net revenue retention (NRR). Collaborating closely with technical teams using our platform, you’ll ensure they maximize the value derived from Reducto’s services, addressing complex document processing challenges efficiently.We would love to meet you if the following resonates:Strategic and Technical Mindset: You possess the ability to engage deeply with technical teams to comprehend their document processing requirements while keeping a strategic perspective on their overarching business goals. Comfortable in discussions about both technical details and business outcomes.Process-Driven Approach: You excel at designing scalable processes and are adept at laying the groundwork for a world-class customer success organization.Data-Driven Decision Maker: Proficient in tracking and analyzing customer health metrics, usage statistics, and business outcomes, you let data guide your decisions and clearly demonstrate ROI to customers.Exceptional Communication Skills: Your ability to engage with both technical practitioners and executive stakeholders is notable. You are skilled in documentation, customer training, and conducting strategic business reviews.Proactive and Independent: You actively monitor customer health, identifying opportunities to enhance value without waiting for issues to arise. Comfortable working autonomously while establishing scalable processes.
About Lumafield:Founded in 2019, Lumafield is on a mission to transform the landscape of manufacturing. Our team of seasoned engineers brings extensive expertise across the product development cycle, addressing the frustrations associated with the high costs and complexities of modern manufacturing. We aim to enhance this process.Engineers make crucial, multi-million dollar decisions daily, and require tools that provide unparalleled insight into their products. Lumafield offers exceptional visibility and AI-driven tools that not only pinpoint issues but also generate valuable quantitative data, poised to revolutionize the creation, manufacturing, and utilization of complex products across various sectors. Our journey started with industrial CT scanning, an underutilized yet invaluable tool that facilitates rapid, non-destructive inspection of essential components.We have reengineered the entire system, from X-ray capture and computer vision analysis to web-based collaboration and overall business model, making cutting-edge manufacturing technology accessible to all industries. Our company, much like our platform, is designed for continuous improvement. We are committed to fostering greater intelligence, autonomy, and speed, striving for operational excellence and insightful analytics. And we will continue to evolve.About the Role: As a Customer Success Manager (CSM) at Lumafield, you will be integral in partnering with our customers, advocating for their needs within our organization, and managing accounts to drive business outcomes and revenue growth.You will oversee the customer lifecycle, from post-sale onboarding to renewals and expansions, acting as a trusted advisor for stakeholders, fostering advocacy within accounts, and ensuring customers derive significant value from our products.Operating at the intersection of advanced industrial technology and customer strategy, you will lead business reviews, develop and implement mutual success plans, and enhance net revenue retention through strategic account growth.This role requires not only technical expertise in engineering analysis but also the business acumen to translate technical achievements into tangible business value, facilitating discussions with executive stakeholders within customer organizations.
