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Full-Time

Founding Sales Development Representative

Posted on 10/30/2024

Resolve

Resolve

1-10 employees

Automates software operations using AI technology

Enterprise Software
AI & Machine Learning

Entry, Junior

San Francisco, CA, USA

Category
Inside Sales
Sales & Account Management
Required Skills
Hubspot
Salesforce
Data Analysis
Requirements
  • 1+ years of experience in a pipeline-generation role, ideally within a tech startup or other fast-paced, high-growth environment.
  • Proven Prospecting Skills: Demonstrated ability to source and qualify leads, ideally with your own playbook. You’re the person your peers want to emulate.
  • Results-Driven & Metrics-Oriented: You’ve been a top performer because you know what it takes to get there. You track the input to predict the output.
  • Adaptable & Resilient: You have the confidence that you’ll figure it out, and the sense of urgency to move quickly to make it happen. You thrive in fast-paced, sometimes ambiguous environments, and are capable of handling change and uncertainty with confidence. You’ll challenge the status quo when things aren’t working, and you’ll be open to new ideas that deliver better results.
  • Strong Communicator & Collaborator: You’re fluent in the language of your prospects, both in written and spoken form (maybe even memes?), and you can navigate conversations whether you’re speaking with an engineering leader or an on-call engineer.
  • Tech-Savvy: You need to like technology. We’ll give you the tools to be highly successful, but we expect you to use them, and even introduce new tools that give us a leg up. You’ll need some familiarity with CRM systems (e.g., Salesforce, HubSpot), as well as sales engagement tools like Apollo. We expect you to become ultra proficient with tech so that you can exceed your goals in support of company goals.
Responsibilities
  • Use modern tools, including leading sales prospecting products, AI, and your own creativity, to identify high-propensity leads.
  • Engage these leads with timely, relevant messaging across channels, including email, calls, social media, and events, to schedule meetings with engineering personas that generate pipeline.
  • Rapidly engage and qualify inbound leads to provide immediate value to the prospect while determining their potential fit for Resolve’s offerings.
  • Work hand-in-hand with colleagues in GTM to deliver delightful prospect experiences, primarily by sharing feedback to create a cohesive prospect engagement strategy that prospects genuinely value.
  • Serve as the ear to the ground for the GTM organization, staying up to date on product knowledge, industry trends, and the competitive landscape, quickly becoming a knowledgeable expert in our customers and our space.
  • Record your activity and what you’re learning in a system of record (aka CRM), enabling the Resolve GTM organization to quickly learn what’s working, what’s not, and how to execute at the highest level.

Resolve.ai automates software operations using AI technology, specifically designed for software engineers and IT operations teams. Its main product, the AI Production Engineer, autonomously handles incident response and root cause analysis, which helps to significantly reduce the Mean Time to Resolve (MTTR) incidents. This automation minimizes the need for human intervention, allowing engineers to focus more on innovation rather than routine tasks. Unlike many competitors, Resolve.ai offers a subscription-based service that integrates seamlessly with popular tools like AWS, Slack, and GitHub, providing a comprehensive solution for managing software operations. The goal of Resolve.ai is to enhance operational efficiency by automating over 80% of alerts and incidents, thereby reducing operational bottlenecks and alleviating the stress of on-call duties for engineers.

Company Stage

Seed

Total Funding

$34M

Headquarters

null, California

Founded

N/A

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
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Simplify's Take

What believers are saying

  • The $35M seed funding led by Greylock, with participation from notable investors, positions Resolve.ai for rapid growth and innovation in AI-driven software operations.
  • By automating over 80% of alerts and incidents, Resolve.ai significantly enhances operational efficiency, allowing engineers to focus on innovation rather than routine tasks.
  • The backing by industry leaders like Stanford's Fei-Fei Li and Google DeepMind’s Jeff Dean underscores the company's potential to become a leader in AI automation.

What critics are saying

  • The reliance on AI for incident management may face resistance from traditional IT teams accustomed to manual processes, potentially slowing adoption.
  • The competitive landscape in AI automation is fierce, with established players potentially overshadowing Resolve.ai's market entry.

What makes Resolve unique

  • Resolve.ai's AI Production Engineer autonomously manages incident response and root cause analysis, reducing human intervention and setting it apart from traditional IT operations solutions.
  • The seamless integration with popular tools like AWS, Slack, and GitHub provides a comprehensive approach to software operations, unlike competitors who may not offer such extensive compatibility.
  • Resolve.ai's focus on reducing Mean Time to Resolve (MTTR) incidents through AI automation offers a unique value proposition in the tech industry.

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