Lead engineering at a pre-seed GenAI startup: define architecture and tech stack, build the first B2B enterprise SaaS product, set up cloud infrastructure, DevOps and CI/CD, ensure code quality, hire and manage 1-2 engineers, and apply LLM/ML expertise to drive product and business strategy.
Overview
Why GuideSage
Key Responsibilities
Ideal Profile
GuideSage, PBC is a venture-funded, pre-seed, stealth, agentic AI startup with a mission to responsibly help people reach their full potential through learning. We have a multi-product strategy to improve the way people learn using thoughtfully applied generative AI and ML. This year, we’re focused on building our first product, which will target the $400B corporate training market and define a new category.
GuideSage was founded by Adam Berrey, who brings 28 years of experience building successful software companies, including several IPOs and exits. We're actively building our product development team and looking for a founding software engineer to lead development and help build the company. Our vision is to create a generational company that uses agentic AI to help everyone learn more.
This is an opportunity to come in at the ground floor and shape every aspect of the product and business with the confidence that the company already has a clear business strategy and strong funding.
- Mission-driven commitment to positively contribute to the world by helping people learn
- Full competitive salary, benefits, and meaningful equity on day one
- Freedom to craft great software and create a brand-new product from scratch
- Flexibility to build a team you love working with
- Clear business model, product strategy, and prospective customers
- Opportunity to work at the cutting edge of applying GenAI and ML to solve real-world business problems in a $400 billion market with an even larger impact on how people learn everywhere
- Collaborate with co-founders, business stakeholders, and designers to iteratively create the product vision, strategy, and roadmap
- Develop the software and lead the engineering work to create a product that users love and customers buy
- Establish the technical foundation, including the architecture, infrastructure, and tech stack
- Decide on the programming languages, frameworks, and tools based on the company’s needs, scalability, and product goals
- Setup the necessary infrastructure to build and deploy the software, including cloud services, DevOps, CI/CD, and other tools and services
- Ensure code quality, setting up best practices for the development process, and fostering a strong engineering culture
- Hire and manage 1-2 engineers and shape the engineering team's culture, including communication norms, pace, and stage-appropriate work processes
- Stay current with the latest developments in AI and bring insights to the business and product strategy
- Help to define and shape the culture of the company
- Exceptional software engineering and coding skills
- Proven ability to work in a fast-changing, high-uncertainty startup environment
- Great at making technology stack, build/buy, and architecture choices
- Experience building commercial B2B enterprise SaaS systems
- Experience working in early-stage startups or teams building from zero to one
- Experience building on LLM APIs and working with ML
- Capable of building and leading a small engineering team
- Interested in the mission
Similar Jobs
Professional Services • Consulting
Build and ship user-facing and backend features for a consumer AI product. Responsibilities include developing agent frameworks with tool use, memory, retrieval, prompting, and evaluation; designing scalable backend and database infrastructure; deploying and tuning GPU infrastructure; fine-tuning and serving open-source language models; and partnering with founders on product direction and user experience.
Top Skills:
Ai Agent FrameworksBackend ServicesDatabasesGpu InfrastructureLlm EvaluationMemory SystemsModel Fine-TuningModel ServingOpen-Source Language ModelsPrompt EngineeringRetrieval SystemsTool Calling
Professional Services • Consulting
Serve as the first engineering hire, owning real-time platform services, data infrastructure, experimentation tooling, and automated operational systems. Build continuous model research pipelines, pricing experimentation frameworks, high-throughput transaction systems, and tools for issue triage, failure response, and model drift detection. Work closely with founders in a fast-paced, AI-forward environment and ship changes rapidly.
Top Skills:
AIPython
Professional Services • Consulting
Early engineering hire responsible for technical user support, troubleshooting, automation scripts, internal tools, and eventual end-to-end product feature development. The role also contributes to product management, technical design, engineering practices, and AI-assisted development. It requires startup experience, independent execution, full-stack skills, familiarity with LLM tools and workflow automation, and five days per week onsite in New York City.
Top Skills:
Llm-Based ToolsWorkflow Automation
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
