As a Lead Support Engineer, you will be the technical leader of Nimble's Support function, serving as the primary escalation point for complex customer issues while helping shape how we deliver world-class technical support at scale.
You'll partner closely with Customer Success, Solutions Engineering, Product, and R&D to solve challenging technical problems, improve product reliability, and drive continuous improvements across our support operations. In addition to supporting customers, you'll mentor other engineers, establish best practices, and help define the technical standards that enable the team to scale.
This role is ideal for someone who enjoys solving complex technical problems, leading through technical expertise, and driving meaningful impact across both customers and internal teams.
Responsibilities- Serve as the technical lead and primary escalation point for complex customer issues involving Nimble's APIs, web data infrastructure, and platform.
- Lead technical investigations across APIs, integrations, networking, and web data extraction, including website blocking mechanisms such as CAPTCHAs, bot detection, geo-restrictions, rate limiting, and IP restrictions.
- Partner with Customer Success and Solutions Engineering to guide enterprise customers through onboarding, implementation, optimization, and long-term success.
- Mentor and support other Support Engineers through technical guidance, troubleshooting, and knowledge sharing.
- Drive technical excellence by establishing support best practices, documentation standards, troubleshooting playbooks, and operational processes.
- Investigate customer issues using logs, monitoring tools, and system diagnostics to identify root causes and deliver scalable solutions.
- Work closely with Product and Engineering to reproduce bugs, validate fixes, prioritize customer-impacting issues, and improve platform reliability.
- Identify recurring customer pain points and proactively recommend product, tooling, and process improvements.
- Contribute to support automation, monitoring, internal tooling, and operational efficiency initiatives.
- Create and maintain technical documentation, knowledge base articles, root cause analyses, and internal training materials.
- Influence product direction by providing customer feedback and technical insights to Product and Engineering teams.
- Participate in incident management and help coordinate responses to critical customer-impacting events.
- 4+ years of experience as a Support Engineer, Technical Support Engineer, Solutions
- 1–2 years of experience leading a technical support team or serving as a Team Lead.
- Engineer, or similar customer-facing technical role within a B2B SaaS environment.
- Experience serving as a senior technical escalation point for complex customer issues.
- Demonstrated experience mentoring teammates or leading technical initiatives without direct people management.
- Strong understanding of networking and web technologies, including HTTP/S, DNS, proxies, VPNs, APIs, browser-based applications, and modern web architecture.
- Hands-on experience troubleshooting APIs and integrations using Postman, cURL, browser developer tools, command-line tools, and log analysis.
- Experience working with cloud platforms such as AWS, GCP, or Azure.
- Strong analytical and problem-solving skills with the ability to diagnose highly complex technical issues.
- Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
- Proven ability to work cross-functionally with Product, Engineering, Customer Success, and Solutions Engineering.
- A strong ownership mindset with a passion for improving processes, mentoring others, and driving operational excellence.
- Curiosity, continuous learning, and a desire to become a subject matter expert in APIs, web technologies, and data infrastructure.
- Experience with web scraping, web data extraction, proxy infrastructure, or anti-bot technologies is a strong advantage.
- Experience with Python or scripting for automation is a plus.
Nimble is the company leading the AI web search category. Our products are used by leading businesses in financial services, retail, market intelligence, and coding to build best-in-class AI agents with accurate, auditable programmatic access to the web.
We've raised over $70 million from Norwest, Databricks Ventures, Target Global, Square Peg, and others to build expert-level web search for AI. Hundreds of enterprise customers already run on Nimble, and we're forming a world-class team of engineers, researchers, designers, marketers, sellers, and operational experts to achieve our mission.
Why Join Us
As a Lead Support Engineer at Nimble, you’ll play a key role in helping some of the world’s most innovative companies unlock the power of external web data. You’ll work on complex technical challenges at the intersection of AI, data infrastructure, and web technologies while collaborating closely with customers, Product, and Engineering teams.
Join us in building a data-connected world, where external data powers every business decision.
Skills Required
- 3+ years experience as a Support Engineer, Technical Support Engineer, Solutions Engineer, or similar customer-facing technical role (preferably B2B SaaS).
- Strong understanding of networking and web technologies, including HTTP/S, DNS, proxies, VPNs, APIs, and browser-based applications.
- Hands-on experience troubleshooting APIs and integrations using tools such as Postman, cURL, browser developer tools, and command-line interfaces.
- Experience working with cloud platforms (AWS, GCP, or Azure).
- Strong analytical and problem-solving skills with ability to diagnose and resolve complex technical issues.
- Excellent communication skills, able to explain technical concepts to technical and non-technical audiences.
- Customer-first mindset, strong ownership, and ability to work independently in a fast-paced, collaborative environment.
- Experience with web scraping, data extraction, or data quality validation.
What We Do
Nimble enables your AI agents and teams to stream the precise intelligence they need from the live web, powered by infrastructure built to reliably access even the most complex, difficult-to-reach data.









