Top Tech Jobs & Startup Jobs

Design, build, and evaluate conversational AI agents using Go and Python. Own agent orchestration, sub-agent architecture, prompt engineering, tool integrations, guardrails, approval flows, observability, and evaluation infrastructure. Develop datasets, scorers, regression suites, and quality metrics for production readiness. Collaborate cross-functionally on conversational experiences, make architecture decisions, rapidly prototype agents, harden them for launch, and mentor engineers.

Leads Feedonomics’ overall marketing strategy, including demand generation, product marketing, brand, customer advocacy, retention, pipeline, and revenue ownership. Oversees marketing P&L, budget allocation, go-to-market strategy, executive communication, and cross-functional alignment with Sales, Product, Finance, and Customer Success. Builds and scales a senior marketing organization, develops leaders, strengthens brand positioning, drives customer advocacy, and improves retention and expansion revenue.

Owns organic social media strategy, content calendars, publishing, and performance reporting across Commerce, BigCommerce, Feedonomics, and Makeswift. Creates written, visual, and short-form video content for multiple platforms, supports executive social accounts, manages employee advocacy, covers live events, monitors emerging channels, and maintains brand safety. Partners with marketing, creative, PR, and communications teams while using analytics to optimize engagement and business impact.

Owns enterprise account-based marketing strategy, pipeline, and revenue across BigCommerce and Feedonomics. Responsibilities include account tiering, personalized multichannel campaigns, enterprise account penetration, attribution reporting, buying committee engagement, sales alignment, content and creative coordination, and intent-data-driven storytelling. This individual contributor role requires personally building and executing ABM programs, opening new enterprise accounts, and traveling to Austin monthly plus customer events.

Lead backend engineering for a high-performance, data-intensive SaaS platform. Responsibilities include defining technical vision, designing scalable and highly available systems, executing technical projects, participating in architecture decisions, monitoring and optimizing services, improving CI/CD and infrastructure, conducting postmortems, mentoring engineers, documenting practices, and aligning with partner teams.

Lead and grow an enterprise data engineering team while owning the Snowflake and Airflow platform roadmap. Build reliable, governed data products and modernize pipelines using AI-assisted and agentic workflows. Establish standards for quality, observability, lineage, cost efficiency, incident response, and documentation while partnering with Analytics, Data Science, Product, and business stakeholders.

Leads revenue operations across Sales, Partner, and Customer Success, owning pipeline management, forecasting, territory planning, KPIs, dashboards, systems, and process improvement. Partners with Finance, Analytics, Product, and leadership to translate go-to-market strategy into scalable execution. Manages AI-enabled sales tools, reporting, automation, operating cadences, and a high-performing operations team while driving revenue growth, retention, expansion, and customer outcomes.

Build and maintain backend storefront services powering BigCommerce, extend GraphQL APIs, support AI-driven shopping capabilities, resolve production issues, improve performance and reliability, review code, and collaborate on technical designs. The role requires production backend experience, API and service communication knowledge, observability and deployment practices, automated testing, and responsible use of AI coding assistants.

Leads architecture, development, and evolution of large-scale distributed systems supporting a global commerce platform. Drives AI and GenAI integration, technical roadmaps, engineering excellence, performance, scalability, security, and reliability. Provides cross-domain technical leadership, mentors engineers, leads code reviews, collaborates with product and design teams, and builds tools and frameworks that improve engineering delivery.

Leads and develops Customer Success Managers while owning retention, renewals, expansion, adoption, forecasting, customer health, and Net Revenue Retention. Manages escalations, improves lifecycle processes, presents performance insights to leadership, and partners cross-functionally with Sales, Product, Support, Marketing, Finance, and Operations to scale customer outcomes and operational excellence.