Software Engineer, GTM AI

San Francisco, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Construction Technology, Aerial Data & Reality Capture, SaaS / Cloud SoftwareIndustries

Requirements

Candidates should have at least 2 years of experience in Sales Ops, Marketing Ops, RevOps, or Sales roles at a B2B SaaS business, and a background in engineering is preferred. They should be proficient in Python, including libraries such as FastAPI, Flask, SQLAlchemy, Pandas, and Pydantic, as well as JavaScript/TypeScript and React. Familiarity with APIs like OpenAI, Anthropic, VertexAI, Perplexity, MCP, Salesforce, Clay, Outreach, Slack, and Twillio is also required.

Responsibilities

The Software Engineer, GTM AI will build internal and customer-facing tools to accelerate the GTM motion using AI, collaborating with GTM teams to understand needs and rapidly prototype solutions. They will work with Marketing Ops, Sales Ops, and Enablement to deploy and refine tools based on metrics, iterate on tools based on user feedback, apply software development best practices, create reusable code libraries, and collaborate with the Data & Analytics team to leverage customer usage data. Additionally, they will create documentation and ‘run-books’ for productionized solutions and work with stakeholders to drive efficiency and productivity in a modern GTM environment.

Skills

Automation

Modern engineering practices

Scalable tools

Collaboration

Clean code

End-user communication

DroneDeploy

Drone data collection and analysis platform

About DroneDeploy

DroneDeploy provides a platform for capturing data from physical environments using drones and robots. This platform collects data, which is then processed and analyzed with artificial intelligence to deliver insights. Businesses, particularly in construction and energy sectors, utilize these services for tasks like monitoring project progress and detecting methane leaks. The platform is compatible with various drones, sensors, and cameras, making it user-friendly and safe, while also reducing the need for manual inspections. Unlike competitors, DroneDeploy emphasizes data security, holding certifications like ISO 27001 and SOC 2 Type 2, and employs encryption methods to protect customer data. The company's goal is to offer a versatile solution for data collection and analysis, while also providing training, certifications, and technical support to enhance customer experience.

San Francisco, CaliforniaHeadquarters

2013Year Founded

$138.7MTotal Funding

SERIES_ECompany Stage

Robotics & Automation, Industrial & Manufacturing, Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Make it happen

Build trust

Simplify

Risks

Increased competition in the drone software market could erode DroneDeploy's market share.

Rapid AI development may render DroneDeploy's current AI models obsolete if not updated.

Potential regulatory changes in drone usage could impact DroneDeploy's operations in key markets.

Differentiation

DroneDeploy offers a comprehensive platform for reality capture using drones and robots.

The company integrates AI for automated safety risk detection on construction sites.

DroneDeploy's platform is compatible with any drone, enhancing its versatility.

Upsides

The construction industry's adoption of digital twin technology boosts DroneDeploy's platform relevance.

Growing demand for drone-based inspections in energy aligns with DroneDeploy's capabilities.

Remote work trends increase the need for DroneDeploy's high-quality reality capture solutions.

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