SDR Manager (AI)

Location: Hybrid in New York, San Francisco, or San Mateo, United States

On-target earnings: $160,000–$200,000, plus equity

Company

hirify.global provides an AI platform for building, training, and serving specialized models across text, image, embedding, audio, and multimodal workloads.

What you will do

• Hire, onboard, coach, and lead a growing team of SDRs.
• Build inbound qualification and outbound prospecting playbooks covering ICPs, personas, messaging, and AE handoffs.
• Own activity, conversion, meetings booked, pipeline generation, and quota attainment.
• Partner with Marketing, Sales leadership, and RevOps on product-led signals, target accounts, territories, lead routing, and pipeline goals.
• Design AI workflows and automations for account research, prioritization, personalization, reporting, and sales productivity.
• Build dashboards, identify funnel bottlenecks, run experiments, and improve routing, follow-up, sequencing, and handoffs.

Requirements

• 2–4 years of direct, first-line management experience leading SDR or BDR teams.
• Proven success coaching and developing representatives who advance into AE or leadership roles, with teams consistently meeting or exceeding targets.
• Hands-on experience building AI workflows using tools such as Clay, AI agents, LLM prompts, and automations.
• Experience managing performance through metrics, funnel analytics, and pipeline forecasting.
• Previous individual-contributor experience in sales development or a closing role.
• Strong communication, organizational, data-analysis, process-design, and technical-buyer engagement skills.

Nice to have

• Experience building a sales development function from scratch at a high-growth startup.
• Background in AI, developer tools, cloud infrastructure, or technical SaaS.
• Experience with both high-volume inbound and targeted outbound sales motions.
• Experience with Salesforce, Outreach, Apollo, LinkedIn Sales Navigator, or Gong.
• Interest in AI/ML and developing early-career sales talent.

Culture & Benefits

• Competitive cash compensation, equity, and benefits.
• Work on AI infrastructure challenges including low-latency inference and scalable model serving.
• Collaborate with engineers and AI researchers on technology used by businesses and developers.
• Work in a fast-growing environment focused on ownership, impact, curiosity, and innovation.
• Inclusive, equal-opportunity workplace.