Writer

Software engineering technical lead manager

San Francisco, California, United States

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries

Requirements

Candidates should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. They must have 8-10 years of experience in software engineering with a strong technical background, including expertise in distributed systems and multiple programming languages such as Scala, Java, and Python. A minimum of 3-5 years of experience in managing and leading engineering teams is required, preferably in a distributed setting. Candidates should be passionate about technical leadership and have a proven track record of guiding teams and scaling them from the ground up. Excellent leadership, project management, communication, and problem-solving skills are essential.

Responsibilities

The Software Engineering Technical Lead Manager will provide strategic direction and guidance to the engineering team, fostering a culture of collaboration and continuous improvement. They will manage and mentor high-performing software engineers, ensuring a positive and inclusive work environment. The role involves driving technical excellence, overseeing project planning and execution, and collaborating with stakeholders to define project requirements and manage expectations. Additionally, they will communicate engineering initiatives and challenges to senior leadership and act as a liaison between the engineering team and other departments.

Skills

Leadership
Software Engineering
Team Management
Collaboration
Innovation
Scalability
RAG
LLMs
Technical Excellence

Writer

AI platform for business process optimization

About Writer

Writer.com provides a platform that uses artificial intelligence to enhance business processes for various clients, including major companies. The platform integrates Large Language Models (LLMs), Natural Language Processing (NLP), and Machine Learning (ML) to tailor AI solutions to a client's specific brand and knowledge. LLMs generate human-like text, NLP helps computers understand human language, and ML enables learning from data. Writer's platform is built on secure, enterprise-grade LLMs called Palmyra, which are designed to be open and transparent, ensuring that client data is never used for training. This allows clients to self-host the models, giving them control and visibility over their data. The platform assists businesses in speeding up processes and generating customized outputs, such as summaries and insights, while adhering to legal and brand guidelines. Writer.com operates on a subscription-based model, where clients pay a recurring fee for access to its features.

Key Metrics

San Francisco, CaliforniaHeadquarters
2020Year Founded
$317.1MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Enterprise Software, AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Generous Paid Time Off
Medical Insurance
Dental Insurance
Vision Insurance
Paid Parental Leave
Fertility Treatment Support
Family Planning Benefits
Health Savings Account/Flexible Spending Account
Home Office Stipend
Phone/Internet Stipend
Wellness Program
Company Equity
Stock Options
401(k) Retirement Plan
401(k) Company Match

Risks

Increased competition from Logic, offering similar AI integration services.
Google's Gemini AI integration in Workspace could overshadow Writer's offerings.
High investor expectations may strain Writer's resources and focus.

Differentiation

Writer's Palmyra Creative model addresses the 'sameness problem' in AI-generated content.
Writer offers a secure, enterprise-grade platform with self-hosted LLMs for client control.
Writer integrates AI with brand-specific knowledge, enhancing business process customization.

Upsides

Writer raised $200M in Series C funding, boosting its enterprise AI leadership.
Growing demand for AI-driven content personalization aligns with Writer's offerings.
Writer's orchestrator agents enhance AI integration, appealing to enterprise clients.

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