Full-Time

Software engineering technical lead manager

Updated on 11/15/2024

Writer

Writer

1,001-5,000 employees

AI platform for business process optimization

Enterprise Software
AI & Machine Learning

Senior

San Francisco, CA, USA

Category
Backend Engineering
Full-Stack Engineering
Software Engineering
Required Skills
Python
Java
Scala
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 8-10 years in software engineering, with a strong technical background
  • Strong technical background in software engineering and development, with expertise in distributed systems, multiple programming languages (eg; Scala, Java, and Python), various language constructs, frameworks, and technologies.
  • 3-5 years of demonstrated experience managing and leading engineering teams, preferably in a distributed setting
  • You are a software engineer and maintain a strong desire to be hands-on with the teams you lead and manage; you code and deliver with your team
  • Passionate about technical leadership, working cross-collaboratively with stakeholders and you enjoy managing small, high-performing teams while in the trenches.
  • Track record of successfully guiding the work of the teams you lead and you’ve scaled teams from the ground up and you are engaged in hiring.
  • Excellent leadership and people management skills, with the ability to inspire and motivate team members.
  • Strong project management skills, with the ability to prioritize and manage multiple projects simultaneously.
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
  • Strong problem-solving and decision-making abilities, with a focus on delivering results.
  • Bonus: You have a background in building developer platforms, generative AI, B2B SaaS, or functional programming.
Responsibilities
  • Provide strategic direction and guidance to the engineering team, ensuring alignment with the company's goals and objectives.
  • Foster a culture of collaboration, innovation, and continuous improvement within the team.
  • Manage and mentor a team of high-performing software engineers; providing guidance, support, and professional development opportunities.
  • Promote a positive and inclusive work environment that encourages diversity and empowers team members to reach their full potential.
  • Conduct regular performance evaluations, provide constructive feedback, and address any performance issues in a timely manner.
  • Drive technical excellence and ensure the team delivers high-quality, scalable, and reliable software solutions.
  • Collaborate with cross-functional teams to define and prioritize engineering initiatives, ensuring alignment with business objectives.
  • Stay up-to-date with industry trends, emerging technologies, and best practices, and leverage this knowledge to drive innovation within the team.
  • Foster a culture of continuous learning and professional development, encouraging team members to enhance their technical skills and knowledge.
  • Oversee the planning, execution, and delivery of engineering projects, ensuring they are completed on time and within budget.
  • Allocate resources effectively, considering the skills, expertise, and availability of team members.
  • Collaborate with stakeholders to define project requirements, scope, and timelines, and manage expectations throughout the project lifecycle.
  • Monitor project progress, identify and mitigate risks, and proactively communicate updates to stakeholders.
  • Foster strong relationships with stakeholders, including product managers, designers, and other engineering teams, to ensure effective collaboration and alignment.
  • Communicate engineering initiatives, progress, and challenges to senior leadership and other relevant stakeholders.
  • Act as a liaison between the engineering team and other departments, facilitating effective communication and collaboration.

Writer.com offers a platform that enhances business processes using artificial intelligence, specifically through Large Language Models (LLMs), Natural Language Processing (NLP), and Machine Learning (ML). The platform is built on secure, enterprise-grade LLMs called Palmyra, which ensure client data is never used for training and can be self-hosted for better control. This allows businesses to generate customized outputs like summaries and insights while adhering to legal and brand guidelines. Writer.com stands out by prioritizing security and privacy, aiming to empower businesses to effectively integrate AI into their operations.

Company Stage

Series C

Total Funding

$317.1M

Headquarters

San Francisco, California

Founded

2020

Growth & Insights
Headcount

6 month growth

78%

1 year growth

400%

2 year growth

1214%
Simplify Jobs

Simplify's Take

What believers are saying

  • Writer.com's continuous innovation, such as the launch of Palmyra-Vision, positions it as a leader in enterprise AI solutions.
  • The company's strategic partnerships and high-profile clients, including Vanguard, Intuit, and Accenture, reflect strong market trust and potential for growth.
  • CEO May Habib's recognition as a Young Global Leader by the World Economic Forum highlights the company's leadership and influence in the AI industry.

What critics are saying

  • The rapid pace of AI advancements requires Writer.com to continuously innovate to stay ahead of competitors.
  • The complexity of integrating AI into diverse business processes may pose challenges in scalability and client-specific customization.

What makes Writer unique

  • Writer.com offers a secure, enterprise-grade AI platform with proprietary LLMs, Palmyra, which ensures data privacy and control, unlike many competitors who use client data for training.
  • The company's focus on integrating AI into all business processes, including generating text from images and multimodal AI capabilities, sets it apart from other AI providers.
  • Writer.com's ability to analyze up to 10 million words of company-specific information with advanced RAG technology provides a significant edge in data processing and customization.

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