Founding Engineer - Fullstack

Join us as a Founding Software Engineer with extensive full-stack development expertise to shape the future of our innovative AI platform tailored for market due diligence. You will take full ownership of developing features from the ground up—spanning AI-driven backend systems to sleek frontend interfaces utilized by investment professionals in Private Equity, Hedge Funds, Private Credit, and Corporate M&A to guide billion-dollar decisions.About DiligenceSquaredDiligenceSquared revolutionizes commercial due diligence for Private Equity funds. Backed by Y Combinator, we recently secured a substantial Seed round, and our clientele includes some of the largest PE funds globally.The market is valued at over $10 billion annually, with PE funds investing $500,000 to $1 million per report with firms like McKinsey, BCG, and Bain. Our AI solutions provide these services faster, more cost-effectively, and with superior accuracy compared to traditional methods.Our founders have firsthand experience in this domain, having traded these reports while holding senior positions at Blackstone and BCG. We possess profound insights into the workflows and are now focused on automating these processes.Your Responsibilities:Develop new product features and user experiences end-to-end, from database schemas to API endpoints, and integrate them with UI components for our web application and AI Voice Agent.Design and build AI-powered modules from scratch (e.g., market sizing, competitive analysis) that will be integral to our research platform.Establish and manage product foundations across the stack, including AI agent orchestration, voice AI pipelines, interactive data visualizations, application and API performance, and intelligent automations.Incorporate lessons learned from every project into the product development, ensuring continuous incremental improvements (the Law of Compounding is critical, especially for a company founded by investment experts).Qualifications:Minimum of 3 years of professional full-stack development experience.Strong command of React/TypeScript and Python.Experience in developing intelligent systems using LLM platforms (e.g., Anthropic, OpenAI).Extensive hands-on experience with LLMs in production, focusing on building reliable intelligent systems.Proficient with PostgreSQL and SQL database architecture.Familiarity with modern frontend architecture, state management, and API design.

Join Us as a Founding Fullstack Engineer!Location: New York City (5 days on-site) · Competitive salary + equity + benefits.Overview: Help create the essential product for nuclear operators. Take complete ownership of features. This is a high-impact role at the forefront of innovation.Our MissionAt Everstar, we are revolutionizing the nuclear power industry by creating an intelligence layer that makes nuclear energy truly deployable—reducing regulatory workflows from months to mere days. Our platform, Gordian, is already utilized by utilities, advanced reactor companies, and hyperscalers, combining deep nuclear expertise with world-class product execution at a startup pace.We are seeking a Founding Fullstack Engineer who can transform complex engineering and regulatory workflows into seamless, production-ready software.Join the Apollo Team of Nuclear and collaborate with engineers from leading companies like Tesla, SpaceX, and Google, while learning from nuclear and national security experts with backgrounds at the Nuclear Regulatory Commission and CIA.Your RoleThis is an ownership-driven role with a focus on product development, not just a contract or feature factory.You will design and implement product features from start to finish—covering everything from database architecture to API contracts to meticulous UI design, with a ratio of 60% frontend and 40% backend work. You'll have the autonomy to make technical decisions and the responsibility to drive results.Your responsibilities will include:Creating user-centric features: transform complex regulatory workflows into elegant, user-friendly UI/UX that nuclear professionals will appreciate.Owning the technology stack: develop APIs, optimize database queries, implement front-end interactions, and troubleshoot production issues as needed.Defining product standards: you will have the opportunity to shape our approach to code quality, design systems, testing, and the overall product development life cycle.Collaborating with experts: engage with nuclear subject matter experts and AI engineers to understand intricate requirements and deliver effective solutions.Balancing speed and craftsmanship: continuously iterate on designs and features based on user feedback and evolving needs.

Founding Backend EngineerCompany Overviewfuku is an innovative and rapidly expanding social shopping platform co-founded by Phoebe Gates and Sophia Kianni. With a user base exceeding 350,000 and an impressive 90% retention rate, fuku is at the forefront of transforming online shopping through community engagement, personalized experiences, and AI-driven recommendations. Join our dynamic, mission-oriented founding team and play a key role in defining the future of social commerce.Key Job Information- Location: New York City (relocation support provided)- Work Type: On-site, full-time- Required Experience: 3+ years- Salary Range: $160,000 – $200,000 per year- Visa Sponsorship: Available for H-1B, O-1, OPTRole SummaryIn the role of Founding Backend Engineer, you will take ownership of and enhance fuku's data infrastructure, essential for powering search, personalization, and recommendations. Collaborating closely with the CTO and machine learning engineers, you'll design robust data pipelines, architect backend systems, and establish best practices for backend engineering. This is a unique founding opportunity where you will have substantial product and technical ownership.Responsibilities- Design and implement backend systems for fuku's recommendation engine and shopping experience.- Develop and maintain data pipelines for processing large-scale datasets from diverse sources.- Create reusable APIs and microservices for core product functionalities.- Collaborate with the ML team to integrate machine learning models into production.- Ensure system reliability, scalability, and maintainability across the backend stack.- Set and uphold backend engineering standards and technical best practices.Requirements- At least 3 years of backend engineering experience.- Strong expertise in Python and cloud platforms (AWS/GCP).- Practical experience in building data pipelines and microservices architectures.- Familiarity with Airflow, gRPC, GraphQL.- In-depth knowledge of search and vector database technologies, including: - HNSW (Hierarchical Navigable Small World) - OpenSearch / Elasticsearch - Approximate Nearest Neighbor (ANN) frameworks- Exceptional system design and problem-solving capabilities.- Willingness to work in-person in New York City (relocation assistance provided).Benefits & Perks- Competitive salary with equity in the company.- Comprehensive health, vision, and life insurance.- 401(k) plan with company matching.- Complimentary daily lunches, snacks, and late-night Ubers.- Opportunity to work closely with founders and early team members, influencing product and technical direction.Interview Process1. Introductory chat with the Head of Recruiting2. Technical interview3. Coding assessment4. CTO interview5. Onsite interview (technical + cultural fit)6. Offer extended7. Onboarding

Join OuterSignal as a Founding Software EngineerAt OuterSignal, we are pioneering the customer intelligence layer for commerce. While brands track orders, they often miss the larger picture, seeing only about 5% of the complete narrative. We provide insights into the remaining 95%, revealing not just who purchased, but also key information about those individuals — including executives, influencers, journalists, retail buyers, investors, and loyal customers who can become a brand’s strongest advocates. Our innovative platform enhances every order in real-time with both professional and personal signals, enabling smarter outreach, improved analytics, and better business development leads. In just six months, we've partnered with over 150 brands and are experiencing a monthly growth rate of 50%. Our small, high-performing team is committed to building a category-defining platform for e-commerce customer intelligence, supported by a world-class group of investors.Your Responsibilities:Design and manage core systems that handle millions of orders via APIs and LLM pipelines.Develop queue-based microservices utilizing Redis, Node.js, TypeScript, PostgreSQL, Docker/Kubernetes, and Vercel.Integrate vector databases and RAG pipelines to enhance customer profiles, making them smarter, faster, and more searchable in real-time.Deliver features end-to-end: from APIs to dashboards and integrations (including Shopify, Klaviyo, Slack, Zapier, and Gorgias).Ensure compliance with privacy regulations and best practices.Collaborate closely with the founding team on product vision, roadmap, and future hiring of engineers.Your Profile:5+ years of engineering experience, particularly in backend infrastructure and distributed systems.Proven experience in a fast-paced startup environment or a strong willingness to adapt to dynamic work conditions.Proficient in JavaScript/TypeScript (Node), with additional familiarity in Python and Machine Learning being a plus.Experience with vector databases (such as Pinecone, Weaviate, pgvector) and RAG architectures.Comfortable designing schemas and scaling PostgreSQL databases.Bonus if you have experience building applications around LLMs, Shopify, or data privacy frameworks.Above all, you desire ownership of your work. You thrive in rapid development environments, enjoy tackling complex challenges, and are not deterred by the chaos that often accompanies early-stage projects.

Join Savvy as a Founding Platform Engineer, where you will play a pivotal role in building innovative solutions that power our platform. As a key member of our team, you will collaborate closely with cross-functional teams to design, implement, and optimize our backend systems. Your expertise will help shape the technological backbone of our services, ensuring scalability and reliability.

Overview: Spur is the AI QA Engineer for every company.Location: New York CityAt Spur, we create groundbreaking technology designed to redefine quality assurance: autonomous browser agents that think, explore, validate, and self-heal like actual users. We aren’t just another testing tool; we are revolutionizing the way digital teams deliver with confidence.The market response has been resounding. Leading brands such as Alo Yoga, Living Spaces, HelloFresh, Nextdoor, and Abercrombie & Fitch are actively engaging with us. Demand is skyrocketing, sales cycles are swift, and our product delivers — teams can go live in days, not months.Our elite team comprises builders from DeepMind, Figma, and former founders who are producing at a pace that larger companies cannot match.Our Mission: We aim to empower our customers to deliver exceptional digital experiences.Explore our Manifesto: https://www.spurtest.com/founders-letterThe RoleAs the founding engineer specializing in infrastructure and backend, you will design the core architecture of Spur’s platform—defining, building, and scaling critical infrastructure that powers our web agents.You will oversee our entire stack from top to bottom, orchestrating vast fleets of browsers and web agents in the cloud while optimizing them for massive scale. Collaborating closely with the founders, you will tackle pioneering infrastructure challenges that have a direct impact on our customers and set the benchmark across our stack, from low-level infrastructure to the user experience delivered by our agents.What You Will DoBuild and scale our core infrastructure to deploy and manage thousands of browser and web agents daily.Design, implement, and maintain our clusters, CI/CD processes, observability, and best practices.Rapidly iterate in collaboration with product, engineering, and the founders.Bonus PointsExperience with distributed task queues and optimizing performance/scalability.A history of generating impact in small teams and scaling infrastructure from the ground up.You Will Excel Here If YouHave 5+ years of experience designing, deploying, and managing infrastructure at scale.Possess deep expertise in Docker and cloud technologies.

About Sailor HealthSailor Health is dedicated to addressing the urgent mental health crisis affecting older adults. In the U.S., seniors are the demographic with the highest suicide rates but often lack adequate mental health services. With projections indicating that by 2030, over 65 million seniors will represent nearly a quarter of the U.S. population, this issue demands immediate attention.We are developing an innovative platform focused on senior mental health, facilitating connections between older adults, therapists, healthcare professionals, and insurance providers. Our AI-driven operating system enhances care coordination, provides real-time clinical insights, and simplifies insurance billing, allowing therapists to dedicate more time to compassionate care.Our rapid growth and partnership with Medicare enable us to deliver exceptional and affordable psychotherapy to hundreds of patients. We are proud to have the support of distinguished founders from Ramp, Nourish, Headway, Charlie Health, and Spring Health.⭐ About the RoleLocation: HQ - New York City - Remote.We are seeking a Founding Full-Stack Engineer who will spearhead the development of our AI-enhanced platform from its architectural design through to launch. You will collaborate closely with our co-founders to establish the systems and AI infrastructure that drive our platform, including tools for therapists and care navigation support.This is a unique opportunity to create and launch an AI-first product from the ground up at a startup that has achieved exceptional product-market fit. You will be responsible for significant technical decisions, influence our engineering culture, and rapidly bring innovative ideas to fruition. If you thrive in a fast-paced environment and seek to make a meaningful impact through your coding, we want to connect with you.

Join Noto as a Founding Engineer!At Noto, we are revolutionizing the way after-school businesses operate by creating an AI-native operating system tailored for tutoring centers, music schools, and sports academies. Our goal is to empower the 150,000 after-school businesses across the U.S. with a seamless platform that modernizes outdated tools and eliminates the chaos of spreadsheets.With our recent funding of $3.8M seed from esteemed investors like Base10 Partners and South Park Commons, we are poised for rapid growth.Founded by visionary technical leaders, AJ Ding (CEO) and Steve Wang (CTO), we are based in NYC and are in the process of building a passionate team dedicated to quality, user experience, and making a significant impact.Become part of our mission to empower small-business owners within local communities!(Our team enjoying karaoke with a valued customer)Meet Our Founders AJ Ding (CEO) - A second-time founder with a background in AI recruiting and experience as a machine learning engineer and data scientist at Quora, Lyft, and Meta. AJ holds a degree in Statistics from Yale and has a personal connection to small business ownership.Steve Wang (CTO) - Previously the Head of Engineering at Nitra, Steve has extensive experience in data science and engineering at Lyft. He studied math at Harvard and has Canadian roots.Work Environment 4 days in-office (Union Square area)1 day remote per week1 week per quarter to work from anywhereOpportunities for occasional travel for team off-sites and client visitsOur Company Culture Strong Team Spirit: We collaborate closely and celebrate our shared achievements.Impact-Driven: We prioritize meaningful work that makes a difference.

About EliseAIAt EliseAI, we are transforming critical industries such as housing and healthcare. Everyone deserves a secure home and access to quality healthcare, yet both can often be difficult to attain. By seamlessly integrating AI agents into current workflows, we enhance efficiency, lower costs, and elevate the overall experience for users.Housing: We streamline the process for renters to tour apartments, sign leases, submit maintenance requests, and maintain communication with their property teams—bringing every essential service for their home into a single platform.Healthcare: We simplify the scheduling of appointments, the completion of intake forms, and enhance communication between patients and providers, allowing everyone to focus on health rather than paperwork.With EliseAI, organizations can minimize manual tasks, enhance accessibility, and provide a seamless experience across vital services. We recently secured a $250 million Series E funding round spearheaded by Andreessen Horowitz to propel this mission forward.About The RoleEliseAI is venturing into a new sector: healthcare. We are in search of a Founding Software Engineer to play a pivotal role in establishing our new business unit. You will be working in a startup environment within a startup, driving transformative changes in the healthcare landscape.As a Software Engineer at EliseAI, your role will extend beyond mere coding; you will develop software that enhances business operations and positively impacts lives. Instead of adhering to a predefined playbook, you will be creating one. Each day will present challenges to identify methods for scaling and executing our vision. You will collaborate with a small team of top-tier engineers, taking on substantial ownership, leading projects, and witnessing your ideas come to fruition.Key ResponsibilitiesDevelop systems that promote autonomous operations in healthcare, optimizing communication and administrative workflows.Collaborate directly with customers to design and manage new product features from conception to deployment.Enhance the scalability and reliability of our core infrastructure.Suggest and implement impactful improvements to our applications.

Join the Pom Health TeamPom Health is revolutionizing the healthcare landscape with a focus on the joys of food. Our mission is to empower clinicians to integrate nutrition and lifestyle guidance into standard care practices.In the United States, 130 million people face chronic diseases linked to their dietary choices. Heart disease, diabetes, and obesity account for a staggering 85% of our $4 trillion healthcare expenditure. Despite this, there is no systematic approach for doctors to prescribe nutrition—a critical intervention.At Pom, we are changing this narrative. We collaborate directly with healthcare professionals to provide personalized, culturally-sensitive nutrition care through our skilled dietitians and AI-driven coaching, seamlessly woven into existing clinical workflows. We believe food should be a central component of a patient's care plan.Our passionate, multidisciplinary team—comprising clinicians, technologists, and operators—consists of 15 dedicated individuals. We are proud to have secured over $5.3 million in funding from esteemed investors such as NextView Ventures, Female Founders Fund, Flare Capital, and Pear Ventures, alongside the co-founder of Instacart. With our initial practice customers onboard, we have already positively impacted hundreds of patients.If you share our vision and wish to make a significant difference for countless individuals through your technological contributions, we would be thrilled to connect!Role OverviewAs a Founding Engineer, you will play a pivotal role in shaping Pom's foundational development. This position transcends traditional engineering tasks—you will have genuine ownership in building our product, platform, and team culture.In collaboration with the founders and our early team, your responsibilities will include:Developing our core product: You will create the infrastructure that merges high-touch nutrition therapy with AI coaching and engaging food content, guiding patients through impactful, incremental changes.Ensuring seamless integration: Your work will facilitate access to Pom's services at the point of care in clinical settings.Preparing for scalable growth: You will make foundational technical decisions that enable us to experiment and scale effectively.Cultivating our engineering culture: Together, we will establish a high-caliber technology organization.

About ClarionAt Clarion, we're transforming communication in healthcare through cutting-edge AI technology.Currently, clinics are missing 30–40% of patient calls, while their staff faces overwhelming administrative burdens. We envision a future where AI agents manage workflows like scheduling, billing, prescription refills, and follow-ups, allowing healthcare teams to prioritize patient care.We are developing the essential communication framework that modern healthcare demands. Our AI agents not only respond to calls—they complete entire workflows, ensuring that patients are always heard. To date, we've facilitated hundreds of thousands of patient interactions across various virtual care providers, healthcare systems, and a $5B health insurance company.Founded by a physician with training from Stanford and Harvard (part of the founding team at Two Chairs and Ophelia) and an ex-Amazon Alexa engineer who led AI/ML initiatives at Salesforce, we have secured $5.4M in funding from notable investors including Accel, Y Combinator, Sequoia (Scout), and prominent healthcare entrepreneurs. Our team operates in-person in New York, moving swiftly to tackle one of healthcare's most pressing challenges.Why This Role Is UniqueOwnership of high-impact projects: You'll be responsible for significant features and systems that are actively used in real healthcare settings.Early traction and strong signal: With numerous paying customers and increasing revenue, you'll have the opportunity to influence critical product decisions.Learn from industry leaders: Collaborate closely with founders and experienced engineers who work at the nexus of healthcare, AI, and real-time systems.Your ResponsibilitiesDevelop and maintain full-stack features that drive AI-enhanced healthcare communication.Integrate with EHRs, legacy healthcare systems, and real-time voice infrastructure.Work collaboratively with product, design, and senior engineers to turn customer feedback into deliverable software.Enhance reliability, performance, and scalability across active systems.Engage in technical discussions, code reviews, and contribute to the evolution of engineering best practices.Technical Challenges Awaiting YouAI-driven workflows: Support and expand LLM-based systems utilized in real-time healthcare interactions.Real-time systems: Contribute to low-latency services that provide seamless healthcare experiences.

About GreenboardAt Greenboard, we are pioneering the future of financial compliance. Our unified, AI-driven compliance operating system serves registered investment advisors (RIAs), fintechs, private funds, hedge funds, and beyond, replacing the disjointed array of legacy tools and automating processes beyond previous capabilities. By centralizing data and streamlining workflows, Greenboard empowers firms to mitigate regulatory risks, simplify their technology infrastructure, modernize compliance operations, and achieve cost savings.Our founding team consists of engineers who have successfully scaled products at industry giants such as Amazon and Google, as well as at several unicorn startups. Supported by esteemed investors including Y Combinator, General Catalyst, and Base10, we have raised over $20 million to date. Renowned financial institutions already trust Greenboard, and our growth trajectory is rapidly accelerating.About the Role:As a pivotal member of our engineering team, you will tackle complex technical challenges ranging from building AI agents for insider trading detection to scaling messaging archiving systems capable of processing tens of millions of messages daily. You will collaborate with a team of world-class engineers, making a significant impact on our innovative projects.This is a full-time, on-site Fullstack Software Engineer position based in New York City.Who You Are:You thrive in fast-paced environments and love to build innovative solutions.You seek deep ownership of the products you develop.You are passionate about understanding and serving the customers you build for.You possess excellent communication skills.You value teamwork and collaboration.You are based in New York City.Qualifications:3-5 years of industry experience.Proficient in Node.js and Python.Experience architecting secure, scalable systems on AWS.Experience in developing scalable data infrastructure.Knowledge of AI and machine learning algorithms.Ability to work effectively in a fast-paced startup environment.Experience in the financial industry is a plus, but not mandatory.Benefits:401(k) plan with 5% company match.Comprehensive medical, dental, and vision insurance.15 days of paid time off plus 11 company holidays and flexible sick leave.

Location: New York CityIndustry: AI / Recruiting / HR TechCompensation: Competitive salary plus meaningful early equity Talentpluto is building an autonomous recruiting platform that uses AI to streamline hiring. The team focuses on intelligent candidate screening, real-time conversations with hiring managers, and automating complex recruiting workflows. The product leverages large language models, voice AI, and automation tools to reshape how companies find and hire talent. The company values agility, rapid iteration with real users, and a culture based on trust and ownership. Feedback from clients and candidates directly shapes product decisions, and everyone is encouraged to take responsibility for impactful hiring tools. Role overview The Founding Engineer will help define the technical direction of Talentpluto and take on broad ownership across the product and technology stack. This position suits someone who enjoys building from the ground up, partnering closely with founders and clients, and shaping both architecture and engineering culture from the earliest stages. This role covers everything from designing and deploying features to establishing infrastructure and engineering practices. The Founding Engineer will also help recruit and onboard future engineering hires, ensuring the team grows with strong foundations in place. Key responsibilities Design, build, and launch features across the stack, including backend data models, APIs, and user interfaces Work directly with founders and clients to turn high-level needs into practical, effective solutions Select tools, frameworks, and architectural approaches for the platform Set up and maintain infrastructure for CI/CD, observability, security, testing, and performance Define engineering best practices, such as code review standards, testing protocols, and release management Contribute to pipeline management UIs, multi-tenant systems, and integrations with payment gateways and external services Support recruitment, hiring, and onboarding of engineers and contractors as the team grows Troubleshoot complex production issues and improve documentation and internal tools as needed Requirements Experience delivering real products end-to-end, ideally in a startup or fast-changing team Comfort working across the full stack: frontend, backend, databases, and sometimes mobile Strong sense of ownership and focus on user outcomes, not just task completion Ability to work through ambiguity and iterate based on user feedback

DiligenceSquared is in search of a pioneering Backend Engineer to join our team as we revolutionize the landscape of market due diligence through cutting-edge AI technology. In this foundational role, you will be instrumental in designing the architecture for our AI-driven engine, which coordinates autonomous research agents and voice AI systems to produce innovative market reports tailored for investment professionals, including those in Private Equity, Hedge Funds, Private Credit, and Corporate M&A.About DiligenceSquaredAt DiligenceSquared, we are transforming commercial due diligence for Private Equity funds. Backed by Y Combinator and having successfully raised a substantial Seed round, we are proud to serve some of the globe's largest PE funds. The market opportunity exceeds $10 billion annually, with PE firms spending up to $1 million per report from consulting giants such as McKinsey, BCG, and Bain. Our AI agents streamline this process, delivering faster, cost-effective, and fully auditable results, linking every claim to its source.Our founding team comprises seasoned professionals from Blackstone and BCG, bringing invaluable insights into the market's needs, which we are now automating.Your Responsibilities:Develop comprehensive product features and experiences from start to finish, including database models, API endpoints, and their integration with UI components for our web and AI Voice Agent application.Design and implement new AI-driven modules from the ground up (e.g., market sizing, competitive analysis) that will become core functionalities of our research platform.Build and maintain product foundations that include AI agent orchestration, voice AI pipelines, application and API performance, and intelligent automations.Architect scalable backend services featuring complex asynchronous processing and background task orchestration.Continuously improve the product by applying insights gained from each project, ensuring we progress by 1% every day (the Law of Compounding is real, especially for a team founded by investment professionals).Qualifications:Minimum of 3 years of professional experience in Python backend development.Proven expertise in building production-ready APIs using frameworks like FastAPI, Django, or equivalent.Experience in developing agentic systems leveraging large language model platforms (e.g., Anthropic, OpenAI).Hands-on experience with LLMs in a production environment, focusing on building reliable agentic systems rather than just API calls.Knowledge of PostgreSQL and SQL database design.Strong problem-solving and analytical skills with a passion for innovative technology.

Join Our Visionary TeamWe are revolutionizing the AI landscape for America’s 33 million small and medium-sized businesses (SMBs). Our growth trajectory is remarkable—10x in the past year and 20% month-over-month. After recently securing $3 million in seed funding from Pear, we proudly serve over 300 businesses today, with a target of exceeding 1000 by year-end. We have uncovered an untapped opportunity to lead the SMB market while others focus solely on enterprise solutions.Our Ambitious GoalConventional wisdom suggests that SMBs are challenging due to low contract values and high churn rates. However, we see significant growth potential where others see obstacles. Representing half of the U.S. GDP, SMBs require AI solutions just as much as enterprises do, and we are making this vision a reality.Our initial success demonstrates our model's effectiveness, and we are on the lookout for a dynamic product leader to help us scale. Starting with AI receptionists, we have quickly evolved into a more robust platform—the SMB Customer Revenue Engine, equipped with AI agents managing all customer interactions, an intelligent layer that learns from each interaction, and outbound AI strategies that drive genuine revenue growth. Our bold vision is to become the ultimate SMB super app—a comprehensive, intelligent platform that oversees everything from customer acquisition to retention.Your RoleAs our first full-stack founding engineer, you will play a pivotal role in shaping the evolution of our product. This position is far from ordinary; while coding is part of your job, your responsibilities will also include:Engaging with customers to gather feedbackParticipating in major dealsFacilitating growth experimentsDirectly influencing the product roadmapYou will take ownership of features from prototype to production scaling, collaborating closely with our founder (ex-Meta) and PM (ex-Microsoft) to influence the company's direction.Within your first 90 days, you will:Launch revenue-generating features utilized by hundreds of SMBsParticipate in sales and support calls, transforming customer feedback into rapid product iterationsWork across the technology stack (TypeScript, React, FastAPI, Postgres, Twilio, LiveKit)Refine critical AI logic that impacts call qualityDevelop internal tools that accelerate go-to-market effortsIn the subsequent six months, you will:Manage significant product areas (e.g., lead capture workflows, analytics, integrations)Drive the adoption of your features across 1000+ businessesCollaborate across teams to enable seamless product launches

The advertising landscape is evolving, and at Polynomic, we’re leading the charge in transforming performance marketing from its roots. We envision a future where innovative ad formats remain the cornerstone of online business, driving growth in commerce. However, the current performance marketing strategies are bogged down by outdated methodologies and excessive manual labor. We’re committed to changing that narrative. Our goal is to empower brands to abandon the hit-or-miss approach of traditional marketing and leverage the power of AI to create more efficient and profitable advertising solutions.We’re developing autonomous, intelligent systems that allow brands to seamlessly connect and discover the most lucrative avenues for revenue growth through advertising, reducing the need for costly agencies and minimizing the time spent on campaign optimization.Founded by Madhav (former Google Ads, Citadel, HBS, Harvard) and Nathan (former Google Research, HBS, Stanford CS), Polynomic is a well-funded seed-stage startup supported by leading venture capitalists and angel investors. We’re already collaborating with multiple high-growth consumer brands as our clients.Role Overview:As a Founding Engineer, you will take the reins in defining and constructing the foundational technology stack that powers Polynomic. You will engage with cutting-edge AI challenges, develop data infrastructures, and orchestrate agents to create autonomous systems that will redefine the future of performance marketing.Preferred Qualifications:You possess exceptional talent demonstrated through successfully shipped products, impactful research contributions, open-source projects, startup experiences, or other technically rigorous endeavors.You are passionate about owning and successfully delivering ambitious and complex projects that tackle challenging technical problems (e.g., reinforcement learning, bandits, reasoning, agent reliability, and ad creative generation workflows).You are genuinely interested in the dynamics of running efficient digital advertisements and understand their significant influence on global commerce.This is an in-person role located in New York City.

About SolvaSolva is pioneering the development of artificial intelligence solutions tailored for the insurance industry, transforming a colossal $8 trillion market, with a primary focus on claims management. Our operations are bolstered by a $6 million investment from prominent backers including First Round, Y Combinator, SV Angel, and notable angel investors like Paul Graham, who have previously supported industry giants such as OpenAI, Google, Stripe, Anthropic, Databricks, and GitHub. We are proud to have an advisory board composed of seasoned insurance executives and entrepreneurs.Our team has a proven track record, having played a crucial role in establishing Europe’s fastest-growing InsurTech and founding a licensed EU bank that handles payments exceeding €1 billion annually. We are on a mission to revolutionize one of the world’s largest sectors by reimagining it through the power of AI.Solva is recognized as a Y Combinator S25 company, rapidly emerging as one of the most dynamic and well-capitalized startups in the industry.About the RoleAs a Founding Engineer, you will collaborate with a team of seasoned entrepreneurs and former Apple engineers. You will set the standards for AI security and accountability, creating best practices where none currently exist. We value those willing to tackle challenging problems head-on and innovate in meaningful ways. Your contributions will be pivotal in shaping our core product and expanding our engineering team.Your responsibilities will vary, from delving deep into backend systems and cloud infrastructure to making architectural decisions that impact multi-billion dollar claims processes.This position offers true ownership. You will not only write code but also influence the technical direction, lead initiatives on new projects, and help cultivate a strong engineering culture from the ground up.What You Will DoDesign and implement production systems for our core offerings.Take charge of infrastructure and backend technologies (Go, Python, Postgres, GCP/AWS, Kubernetes, Terraform, CI/CD).Engage across the tech stack as necessary (React, Vite, TypeScript).Deliver quickly, iterate based on customer feedback, and transform complex issues into clean, scalable solutions.Help foster an exceptional engineering culture and play a significant role in shaping our long-term technical vision.What We Are Looking ForA standout candidate who has developed impressive projects in the AI domain.Extensive backend and infrastructure experience (cloud services, infrastructure as code, system scalability, observability).Proven ability to make technical decisions while balancing practical solutions and long-term design goals.A strong desire to innovate and contribute to the future of AI in the insurance sector.

Founding Engineer - ScendWho We AreAt Scend, we are dedicated to revolutionizing the M&A landscape and enhancing efficiency within private markets. Backed by leading investors such as Pear VC, we have a strong team and early customers, positioning us for significant growth.Join our lean, high-impact team that thrives on creating stunning, functional products. Our diverse backgrounds span M&A, private equity, consumer fintech, and the vibrant Python open-source community, uniting us in our passion for excellence.Our Values (DEAL)Deliver: Every team member contributes by shipping code, designing features, or engaging directly with customers to transform ideas into tangible products.Empower: We believe in taking initiative beyond job titles. If you spot a challenge or an opportunity, you are encouraged to act.Align: Collaboration is key; we tackle challenges together with openness and humility.Learn: Our culture thrives on exploring new ideas, tools, and methodologies.The RoleAs a founding engineer, you'll collaborate closely with our founders to shape the product and architecture from inception. Your involvement as an early team member will greatly influence system design and our engineering culture. While prior experience is not mandatory, familiarity or interest in LLMs and Machine Learning will be highly valued.ResponsibilitiesDesign & Build: Create scalable, high-performance APIs to deliver financial data and develop them into product features.AI-Powered Systems: Utilize LLMs to generate datasets and research reports, applying evaluations and fine-tuning for accuracy.Data Processing: Handle large datasets using Airflow, Pandas, and Spark.Web Crawling: Build robust systems for crawling websites and documents from the internet.Infrastructure: Oversee infrastructure management with Terraform, Docker, AWS ECS, and monitoring solutions such as Sentry and CloudWatch.RequirementsA minimum of 2 years in developing scalable software systems.Proficient in Python and SQL.Preferred: Comfortable with data processing frameworks like Airflow, Pandas, and Spark.Preferred: Familiarity with infrastructure automation tools such as Terraform.

About ClarionAt Clarion, we are revolutionizing communication in healthcare through the power of AI.Currently, clinics are missing 30–40% of patient calls and their staff is burdened with administrative tasks. We envision a future where AI agents manage these workflows, including scheduling, billing, prescription refills, and follow-ups, allowing healthcare professionals to dedicate more time to patient care.We are developing the essential communication infrastructure that modern healthcare needs. Our AI agents do more than just answer calls—they manage workflows from start to finish, ensuring that every patient is heard. To date, we have successfully handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5 billion health insurance provider.Founded by a physician trained at Stanford and Harvard, alongside a former Amazon Alexa engineer who led AI/ML teams at Salesforce, Clarion has raised $5.4 million from prominent investors including Accel, Y Combinator, and Sequoia. Our in-person team in New York is rapidly advancing to tackle one of the most pressing challenges in healthcare.

About Glazier Glazier is an innovative, venture-backed startup located in New York City, dedicated to revolutionizing software solutions for glass and glazing contractors. With over 25,000 businesses across the U.S. that install windows in residential and commercial buildings, our industry represents a $17 billion market that has yet to embrace modern technology. Currently, glass contractors are hindered by outdated desktop software and tools designed for other trades, resulting in cumbersome and inefficient processes. As a Founding Engineer, you will play a key role in shaping our products from inception to execution. This is a unique opportunity to influence our platform’s architecture, collaborate with industry leaders, and establish best practices as part of a growing team. We seek engineers who are eager to work closely with us on our product vision and strategic direction.