The Role
Generate qualified sales pipeline through personalized, high-volume outbound outreach to engineering leaders and technical buyers across global markets. Research target accounts, identify stakeholders and buying triggers, qualify technical and business needs, handle objections, and maintain accurate CRM data. Partner with Account Executives on account strategies and handoffs while continuously testing and improving messaging and prospecting workflows.
Summary Generated by Built In
Hud is looking for a Sales Development Representative (SDR) to join our GTM team and help drive pipeline growth in global markets. This role sits at the front line of our go-to-market motion and plays a critical role in opening new opportunities with technical buyers and senior stakeholders.This is a hands-on, high-pace role for someone who enjoys outbound, is motivated by results, and wants to grow into a closing or leadership position in a fast-moving startup environment.
Experience
Excellence Mindset
Job responsibilities
Experience
- 2-3 years of experience in B2B SaaS sales, SDR, or a similar outbound-focused role in a deep tech, AI or security product environment.
- Proven ability to generate pipeline through outbound prospecting (email, LinkedIn, calls, account-based outreach)
- Experience engaging technical buyers and senior managers in initial conversations
- Strong qualification skills and ability to identify real buying signals
- Experience working with CRM and pipeline generation tools and maintaining accurate activity and pipeline data
- Comfortable working across global markets
- Comfortable with high-volume, phone-first outbound, and confident handling initial objections and pushback
- Curious and hands-on with AI tools, using them to improve prospecting, research, messaging, and productivity
Excellence Mindset
- Strong hunter mentality and motivation to win
- High activity, high ownership, and accountability for outcomes
- Energized by outbound conversations, resilient to rejection, and motivated to push past objections
- Curious, coachable, and eager to improve quickly
- Thrives in fast-paced, high-expectation environments
- Organized, disciplined, and focused on execution
- Team-oriented, with strong collaboration with AEs and Marketing
- Experience in prospecting or selling to Enterprise or large mid-market accounts
- Background in developer tools, infrastructure, or technical products
- Experience in early-stage or high-growth startups
Job responsibilities
- Create new sales opportunities by engaging engineering leaders through thoughtful, highly personalized outbound outreach.
- Turn research into conversations by identifying the right accounts, stakeholders, and business triggers.
- Qualify opportunities by uncovering technical challenges, business priorities, and customer fit.
- Partner closely with Account Executives to build pipeline, coordinate account strategies, and ensure smooth handoffs.
- Continuously experiment, learn, and refine messaging, while maintaining high-quality CRM data and pipeline hygiene.
Skills Required
- 2-3 years of experience in B2B SaaS sales, SDR, or a similar outbound-focused role
- Experience in a deep tech, AI, or security product environment
- Proven ability to generate pipeline through outbound prospecting using email, LinkedIn, calls, and account-based outreach
- Experience engaging technical buyers and senior managers
- Strong qualification skills and ability to identify buying signals
- Experience using CRM and pipeline generation tools
- Ability to maintain accurate activity and pipeline data
- Comfort working across global markets
- Comfort with high-volume, phone-first outbound and handling objections
- Hands-on curiosity with AI tools for prospecting, research, messaging, and productivity
- Experience prospecting or selling to enterprise or large mid-market accounts
- Background in developer tools, infrastructure, or technical products
- Experience in early-stage or high-growth startups
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The Company
What We Do
Hud Technology Inc. develops runtime intelligence software for coding agents. Its platform runs with production code, detects errors, performance degradation, and CPU spikes, and captures forensic execution context. Hud uses that data to provide AI coding tools with root-cause evidence and support automatically generated, risk-analyzed fixes. The company aims to help engineering teams understand production behavior, ship software more confidently, and make AI-generated code safer.
