Lead and grow a core engineering team to build Nuvo's platform, onboarding, infra, and AI-driven products. Own delivery, quality, technical direction, hiring, and team health while partnering with product, design, and GTM to scale the platform to millions of businesses.
About Nuvo
About the role
What you'll do
Who you are
We’re Redefining the $11T B2B Commerce and Payments Market
Nearly everything you buy, from food to medicine, from building materials to auto parts, passes through a chain of businesses before it reaches your hands. But every handoff between them still runs on paperwork, phone calls, and spreadsheets. Nuvo is building the agentic commerce network to bring global trade online: shared infrastructure for everything from verification to invoicing to payment, with AI agents that can automate routine tasks so humans can focus on judgment. With 200k+ businesses already run on the Nuvo network today, and backed by $45M from Sequoia, Spark, Founders Fund, and Index, we're building the operating system for global commerce.
About the role
Nuvo’s product and platform have grown 3x year on year. As we scale up our technologies to connect the world’s businesses and enable them to trade on the internet, we are looking to bring in an Engineering Manager. As an Engineering Manager at Nuvo, you will build, lead, and grow a team of engineers to build Nuvo’s technical platforms. You will work closely with our founders, product, and customer go-to-market teams to deliver compelling product experiences.
You’ll lead and grow one of our core engineering teams, owning delivery, quality, and team health, and partner closely with product and design to bring bold ideas to life. You’ll also help set the foundation for how we scale: our culture, our systems, and our standards of technical and operational excellence.
- Own technical product areas and delivery across our current Onboarding Product, Platform, Infra, AI and new products.
- Lead and mentor a team of world-class engineers to ensure high performance, well-being, and growth.
- Set technical direction for several engineering-driven initiatives as Nuvo scales to over 1M businesses on network.
- Help us recruit technically gifted engineers and establish an extremely high talent density on the team.
- Bring to life new products that build on top of our existing distribution.
- Work closely with our customers, go-to-market, and product teams.
- Set a high standard for velocity and code quality.
- Shape culture: Foster a team environment grounded in ownership, speed, and empathy for each other and for our users.
- Leverage cutting edge technologies where possible to maximize throughput and discover new product surfaces.
- You have 8+ years of professional experience and have managed and hired teams of engineers.
- You are a first principles-oriented engineer who prioritizes high throughput code output while balancing rigor and correctness.
- You’ve shipped high quality code under tight feedback loops and limited resources.
- You've worked in quickly scaling environments and guided engineering success at different stages of a company's growth.
Expected Compensation Range $200,000-$300,000
Nuvo San Francisco, California, USA Office
1070 Maryland St, San Francisco, California, United States, 94107 4270
Similar Jobs
Big Data • Fintech • Information Technology • Insurance • Software
Lead a platform configuration and implementation engineering team, owning technical direction, delivery commitments, architecture, system reliability, hiring, and engineer development. Collaborate across Product, Delivery, Underwriting, Compliance, and peer engineering teams. Guide distributed systems and microservices development, promote configuration-driven solutions, adopt AI development tooling, monitor team and system metrics, and contribute hands-on to design and code reviews.
Top Skills:
AidlcAsynchronous MessagingClaude CodeClaude TagEvent SourcingGithub CopilotGoGoogle Cloud PlatformGrpcKubernetesPostgresPythonRestTypescript
Cloud • Information Technology • Machine Learning
Lead 8–10 senior engineers building and operating security infrastructure, including telemetry pipelines, security data platforms, SIEM, and continuous control monitoring systems. Define strategy and technical roadmaps, improve reliability and performance, guide architecture, scale distributed systems, and partner with infrastructure, security, and application engineering teams. Responsibilities also include hiring, team management, incident management, capacity planning, and driving platform adoption.
Top Skills:
ElasticGrafanaKubernetesPrometheus
Artificial Intelligence • Legal Tech • Software
Lead and grow a New York-based team of Forward Deployed Engineers while remaining hands-on with technical discovery, architecture, full-stack development, integrations, and customer engagements. Partner with customers and cross-functional teams to deliver scalable solutions, guide technical direction, maintain quality and security standards, and translate field learnings into reusable product capabilities.
Top Skills:
APIsAuthenticationAWSAzureKubernetesLlmsNode.jsReactTypescript
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
