About GoodWork
GoodWork is Amplitude for your CRM. Just as Amplitude turns product data into behavioral insights, GoodWork turns CRM data into buyer intelligence, giving marketing and RevOps teams deep segmentation insights and the clarity to prioritize and act with precision.
We're experienced builders and a lean, product-obsessed team that moves fast and has built GoodWork AI-native from the ground up. We believe the next generation of high-impact companies will be built by small, expert teams with ownership of direction and outcome. Our independence and focus are by design.
Our founder Tom Zampini is a repeat entrepreneur with two successful exits. He most recently served as Chief Product Officer at Convene (Series D) leading product and engineering after Convene acquired his previous startup Beco, a spatial analytics platform for the workplace.
GoodWork is at an inflection point. We've proven early product-market fit with top-tier paying customers. We're now entering our next stage of growth, partnering with ideal customers to shape the roadmap and define what true CRM intelligence looks like.
About the Role
You're here to build. You'll own the technical foundation of an AI-native product that's already in production and delivering value at scale, and your vision will take us from early traction to a category-defining platform.
You'll work hands-on with code, designing and building the product, systems, AI pipelines, and data infrastructure that power GoodWork. You'll make architectural decisions with autonomy, scale systems as demand requires, and define what an enterprise-grade AI product infrastructure and experience look like.
We have a core engineering team in place and systems that are processing millions of LLM calls for paying customers. We've achieved early product-market fit and are ready for a technical leader to scale what's working and own the next phase of our product.
What You'll Build
- Design and build the product and systems that power our AI-native product, writing code and owning the architecture end-to-end.
- Scale data pipelines and infrastructure to support our growing customer base, ensuring performance, reliability, and security at enterprise scale.
- Own AI/ML infrastructure, working with LLMs (OpenAI, Anthropic) and building the application layer that turns CRM data into actionable intelligence.
- Make architectural decisions across the stack: data architecture, security, scalability, integrations, and operational systems.
- Define what a solid enterprise B2B product needs to be and feel like, bringing a strong point of view on product quality, performance, and user experience.
- Prioritize, build and optimize integrations with CRM systems like Salesforce and HubSpot, ensuring our infrastructure handles complex data at scale.
You Might Be Perfect If You…
- Have 7-10 years of backend biased, full-stack software development experience and are an exceptional builder who loves being hands-on with code.
- Have deep experience with Python/Django and have built production-grade data pipelines, worked with Redis/Postgres, and scaled systems under real-world demand.
- Have experience with AI/ML systems, particularly LLMs, and understand how to build reliable, performant, product AI for real-time interaction and high-volume data analysis.
- Think in systems and have a strong point of view on what great product architecture looks like, balancing speed with quality and scale.
- Communicate with clarity and operate with autonomy. You make decisions with incomplete information and move fast without sacrificing rigor.
- Can lead and collaborate effectively with designers and front-end developers, bringing product vision to life across the full stack while maintaining a cohesive user experience.
- Thrive in startup environments where you wear multiple hats, own outcomes, and are ready for every aspect of hands-on technical leadership.
Bonus Points If…
- You have experience with traditional ML and cluster analysis in addition to LLMs.
- You understand CRM (Salesforce, HubSpot) deeply and have built integrations or worked with complex B2B data infrastructure.
- You've scaled technical systems at a B2B SaaS company and want to define what AI-native product architecture looks like from the ground up.
- You've worked at an AI-startup and have seen what works and doesn't work, you're ready to take ownership and build while sharing in early-stage upside.
What We Offer
Compensation: $160K to $180K, with meaningful equity.
Location: Hybrid NYC, approximately 3 days/week in-office at Neuehouse (25th & Park) with flexibility for heads-down remote periods and time away.
Why This Role Matters
You'll work directly with an experienced founder, with autonomy to build the technical foundation the way you think it should be built, AI-native and at scale.
Most importantly: you'll help define how AI gets practically applied in go-to-market systems, architecting the infrastructure for what could become a category-defining platform.
