candidate.fyi

• Build and scale backend services in Python and Django powering our scheduling, coordination, and AI agent infrastructure • Design and ship autonomous agents that handle real recruiting workflows - scheduling coordination, candidate communication, and handoff logic - with minimal human intervention • Design APIs that integrate with enterprise ATS systems and our React frontend • Ship AI-powered features using LLMs; we use Cursor heavily as a team and expect you to be comfortable working that way • Optimize database performance and query efficiency across a PostgreSQL backend handling complex scheduling logic • Talk directly with customers to understand pain points, validate solutions, and close the feedback loop between what's shipped and what's needed

• Run a disciplined cold outbound motion - calls and email - into enterprise talent teams • Develop sharp, tailored messaging for different buyer personas and industries • Build pipeline consistently and hand off well-qualified opportunities to the sales team • Partner with our GTM function to leverage AI-powered tooling for smarter, faster prospecting • Bring signal from the market back to the team - what resonates, what objections come up, where the opportunity is

• Design and launch personalized outbound campaigns that feel handcrafted at scale, targeting TA leaders at enterprise companies • Own our Content Engine: setting up webinars, blog articles, feature release videos, consistent content for our community (you should be hands-on and comfortable creating these with the help of tooling) • Implement and connect AI tools (think: Clay, Zapier, Hubspot, Apollo, ChatGPT, etc.) to create scalable systems for prospecting, nurturing, onboarding, and more • Own and optimize our GTM stack, including Hubspot, (CRM), Canva, Figma, Webflow, Apollo, Make, Claude, Zapier, and other sales/marketing tools • Set up A/B tests, track performance, and iterate quickly based on real-time learnings • Monitor key GTM metrics and uncover insights that lead to smarter decisions and faster growth • Evaluate new AI tools and automation platforms, and bring the best into our workflow • Work closely with Sales, Marketing, and Product to test hypotheses and accelerate growth

• Investigate customer-reported issues across product workflows, integrations, and configurations • Reproduce bugs in staging or production environments • Read logs, inspect system behavior, and identify likely root causes • Escalate issues to engineering with high-quality context • Work closely with engineers to resolve issues • Maintain troubleshooting guides, internal runbooks, and customer-facing documentation • Take ownership of problems end-to-end