Top Tech Jobs & Startup Jobs in Charlotte, NC

Build and own Webflow’s foundational corporate cloud and source-control infrastructure. Responsibilities include designing multi-account landing zones, networking, DNS, PKI, secrets management, Infrastructure as Code pipelines, GitHub self-service workflows, governed deployment patterns, policy guardrails, cost controls, security baselines, observability, and platform reliability. The role partners with SRE, security, and developer productivity teams while managing cloud tooling relationships and enabling both technical and non-technical builders.

Own day-to-day paid social execution and optimization across LinkedIn and Meta, including full-funnel campaign builds, audience activation, retargeting, regional EMEA programs, brand campaigns, experimentation, and campaign QA. Maintain tracking hygiene through UTM construction and naming conventions. Measure performance against CRM-sourced MQL and sales opportunity pipeline using Salesforce and Tableau, diagnose anomalies, and optimize bids, budgets, audiences, creative, and efficiency.

Lead the engineering team developing Webflow’s code-native platform, including high-fidelity visual-to-code round-tripping and coding-agent integration. Set technical and product direction, shape architecture, build developer experiences, establish roadmaps, and partner cross-functionally. Remain hands-on through design reviews, prototyping, and technical contributions while hiring, coaching, and developing engineers and fostering a high-performing technical culture.

Build and scale reliable multi-region cloud infrastructure supporting Webflow products. The role focuses on infrastructure automation, distributed systems, reliability, incident response, cost efficiency, modernization, and developer productivity using AWS or GCP, Kubernetes, Cloudflare, and infrastructure-as-code. Responsibilities include collaborating with product engineering, participating in design and code reviews, improving on-call processes, leading projects, mentoring engineers, and applying emerging AI and agentic development practices.

Lead the technical vision and architecture for backend systems supporting experimentation, personalization, analytics, and conversion optimization. Design and operate high-throughput distributed systems and APIs, guide data infrastructure and AI/ML productionization, and lead complex multi-team initiatives from strategy through operational ownership. Influence engineering roadmaps, establish technical standards and observability practices, mentor senior engineers, and translate product goals into scalable technical solutions.

Leads Webflow’s analytics engineering function and long-term enterprise data architecture strategy. Responsibilities include managing and developing an analytics engineering team, building scalable data models and infrastructure, establishing a governed semantic layer, and enforcing standards for data quality, metadata, lineage, access control, and documentation. The role partners with analytics and business teams to define trusted metrics, enable self-service and conversational data access, and advance AI-native data capabilities.

Owns demand generation execution for field programs, event activations, sponsorships, and gifting campaigns. Manages end-to-end program operations including outreach, list management, follow-up, vendor coordination, budget tracking, reporting, and AI-assisted workflows. Partners closely with Sales, XDR, and Field Marketing to drive pipeline, measure outcomes, and improve sponsorship and activation strategy over time.

Own and close complex, outbound-driven enterprise SaaS deals ($150k+ ACV). Build pipeline, run full sales cycles, conduct consultative discovery, negotiate multi-year contracts, collaborate cross-functionally, and travel (~25%) for onboarding and events.

Lead webflow.com as a continuously improving, high-velocity growth product: run A/B experimentation, implement AEO/technical SEO, build pages directly in Webflow, instrument event tracking and attribution, partner with Demand Gen/RevOps for account-level pipeline conversion, and apply AI-driven automation to optimize content, personalization, and routing for measurable pipeline outcomes.

Lead value realization planning for strategic and enterprise accounts, build scalable AI-enabled value realization tooling, engage directly with customers to quantify outcomes, partner cross-functionally to connect adoption signals to measurable business outcomes, and own a customer outcome database to drive renewals and expansion.