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Software Developer Position in Staff Role

Searching for a Staff Software Engineer to collaborate on a significant, innovative project within the Breeze Assistant division at HubSpot. Breeze Assistant is an advanced AI chief of staff, featuring conversation capabilities.

Software Developer specializing in technical roles within a team.
Software Developer specializing in technical roles within a team.

Software Developer Position in Staff Role

In a recent job posting, HubSpot has announced the opportunity for a Staff Software Engineer to join their Breeze Assistant team. The Breeze Assistant, a conversational AI chief of staff designed for Go-to-Market (GTM) teams, is a key component of HubSpot's platform.

**Position Details**

The role requires extensive full-stack engineering experience, particularly with deep backend expertise. Experience with technologies such as Java, Node.js, MySQL, Kafka, and cloud-native architectures is beneficial. Candidates with experience in Generative AI technologies are highly desirable.

As a Staff Engineer, you will be expected to help drive the product vision forward, solve complex problems, make decisions, and demonstrate strong engineering skills. You will also be responsible for mentoring and teaching engineers in their areas of expertise.

**Responsibilities**

The role encompasses technical leadership, AI development, collaboration, code contribution, and ensuring scalability. As a technical leader, you will guide the development and integration of AI-driven systems to ensure reliability and scalability. You will contribute to the design, architecture, and implementation of AI systems, which could include machine learning models or natural language processing for AI assistants.

You will work closely with multi-functional teams to ensure seamless integration of AI features into the broader product suite, enhancing user experience and business impact. Hands-on involvement in writing and shipping production code is a crucial part of the role, focusing on new features and tools that improve the AI assistant's capabilities. Ensuring that AI systems can handle large volumes of data and interactions, supporting thousands of users and millions of interactions, is also a key responsibility.

**Application and Accommodations**

Interested candidates can apply via the provided link. HubSpot values both flexibility and connection, whether employees work remotely or from the office. If travel limitations or other reasons necessitate accommodations during the hiring process, candidates should inform their recruiters.

HubSpot is committed to supporting candidates who may need alternative arrangements. Accommodations for candidates with disabilities can be requested using a specific form. Applicants from Germany are directed to HubSpot's Career Diversity page, while those from India are directed to HubSpot India's equal opportunity policy.

**Compensation and Benefits**

The cash compensation range for this position is between $227,400 and $363,800 annually. The compensation package may also include on-target commission, annual bonus, equity in the form of restricted stock units (RSUs), and overtime pay.

In-person onboarding is required for Engineering team members, and other in-person events are expected for Product team members. Massachusetts applicants are protected from being required or administered a lie detector test as a condition of employment or continued employment.

Candidates are encouraged to apply regardless of any confidence issues or impostor syndrome. For specific details about the Breeze Assistant team, you might need to refer directly to HubSpot's job postings or contact their HR department for precise information.

  1. In the realm of this Staff Engineer position, a crucial requirement involves a solid background in finance, as an understanding of the monetary aspects will be important in making decisions about the product's development and future.
  2. Keeping in mind the advancement of the AI-driven Breeze Assistant, technology careers are particularly relevant, especially in areas such as natural language processing, machine learning, and cloud-native architectures, as these technologies play a significant role in enhancing the AI assistant's capabilities.

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