LivePerson (NASDAQ: LPSN) is the global leader in enterprise conversations. Hundreds of the world’s leading brands — including HSBC, Chipotle, and Virgin Media — use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing a uniquely rich data set and safety tools to unlock the power of Conversational AI for better customer experiences.

At LivePerson, we foster an inclusive workplace culture that encourages meaningful connection, collaboration, and innovation. Everyone is invited to ask questions, actively seek new ways to achieve success, nd reach their full potential. We are continually looking for ways to improve our products and make things better. This means spotting opportunities, solving ambiguities, and seeking effective solutions to the problems our customers care about.

Overview
LivePerson Voice: LivePerson's revolutionary CCaaS product offers a seamless customer experience across any voice or digital communication channel. Unlike traditional competitors that are optimized for agents and built on selling seat licenses and telco minutes, LivePerson Voice aims to minimize agent seats through increased use of automations with high containment, reduce telco minutes, and overall operating costs while dramatically improving customer satisfaction (CSAT). LivePerson Voice is designed to complete the loop and create a frictionless customer experience. LiverPerson’s VoiceBot is a product offering that provides real-time voice conversations between bots and consumers. It is powered by LivePerson’s VoiceCore Platform, which is a suite of microservices.

We are looking for a full stack SDE II with frontend focus to join our team. In this role you will develop, design the C2M services using NodeJS and Javascript.

You Will

• Build and maintain scalable web applications
• Develop Javascript backend services (with NodeJS)
• Deliver testable, maintainable, and high-quality code
• Engineering duties include technical design, implementation, testing, support and participation in peer code reviews.
• Collaborate and interact with multiple engineering and Product teams

You Have

• 4+ years of experience in development of Microservices, RESTful API, backend systems
• Frontend Web Frameworks - Vue, Angular
• Backend Web Frameworks -  NodeJS
• Code repository and deployment pipelines - GIT, Docker and Kubernetes
• Relational or non relational databases experience, including MySQL and Cassandra.
• Experience in Kubernetes is a plus
• Experience in AWS is a plus
• Graduate degree in Computer Science, Statistics, or another quantitative field.

You should be an expert in:

• • Strong programming skills in NodeJS/Typescript (3 years) - MUST
  • Working knowledge of technologies such as Kafka, Redis and NoSql (1 year) - MUST
  • Experience with Git (1 years) - MUST

Benefits

• Health: Medical, Dental, and Vision
• Time away: Vacation and holidays
• Development: Generous tuition reimbursement and access to internal professional development resources.
• Equal opportunity employer

Why You’ll Love Working Here

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. And, we're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace.

Belonging At LivePerson
We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

We are committed to the accessibility needs of applicants and employees. We provide reasonable accommodations to job applicants with physical or mental disabilities. Applicants with a disability who require reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection.

OVERVIEW

ABOUT THE ROLE-We are looking for a new leader to drive the Storage Platform team for Instacart. This role will be responsible for working with all of our internal business facing service teams to ensure they have highly scalable storage solutions that can power their businesses as they grow. Influencing the ‘how’ and ‘what’ we build to ensure our data systems scale will be at the heart of this role. Figuring out how to introduce new technology solutions while bridging improvements to existing systems is essential. Collaboration across many diverse businesses and teams in a fast-paced evolving environment is a key part of this role.

ABOUT THE TEAM -  Come join the leadership team of Instacart’s Infrastructure Pillar! The Storage Platform team is responsible for designing, building, and operating our next generation of storage solutions that the entire organization builds and runs on. You will be responsible for the long term architecture of these systems. As part of that you will be responsible for establishing the best platform components and leading the company to choose the right storage solutions for the problem domain. You will work closely with all of our internal tech pillars to help them scale and deliver their services. The Storage Platform team is also responsible for making sure we have high uptime and will work across all of Engineering to set up processes, policies, and automation to ensure our systems remain highly available & reliable. You will be the thought leader on operational best practices for storage

ABOUT THE JOB

• You build for our internal customers, define the roadmap and help prioritize work for your team, making difficult tradeoffs on design based on business constraints, ensuring on-time deliverables and high-quality software.
• You will provide hands-on technical management, guidance, and support  and ultimately be responsible for the health of the systems and tools your team builds.
• You will participate in interviewing, hiring decisions, on-boarding, and mentoring of new engineers with the goal of quickly making them productive members of your team.
• You will develop a team culture of ownership that reinforces the core values of Instacart!

ABOUT YOU

Minimum Qualifications

• An inspirational and effective leader in a fast-paced environment with the ability to be highly adaptive.
• 5+ years of experience managing a team of Senior & Staff Software Engineers
• The ability to balance business needs, a sense of urgency, and shipping high quality and pragmatic solutions
• Experience with full-stack development and operating in a large Cloud infrastructure provider (i.e. AWS, Azure, GCP)
• Experience with operating distributed data storage systems at scale, both RDBMS and NoSQL solutions
• Strong analytical skills and an even stronger sense of ownership

Preferred Qualifications

• Bachelor’s degree or advanced degree in Computer Science or related field 
• Experience with AWS

The Role

Did you know? Alternative investing has the potential to generate higher returns compared to traditional investments over the long term. AI and Machine Learning are revolutionizing the way alternative investments are managed and analyzed. Investors are using these technologies to gain insights, see opportunities, and optimize their investment strategies.

Addepar is building solutions to support our clients' alternatives investment strategies. We’re using AI to automate and streamline ingestion and analysis of alternatives investment data. We are currently seeking a Machine Learning Engineer to join our Alternatives Data Management team. In this role, you will have the opportunity to apply the newest technology stacks to build and improve proprietary trained models that transform unstructured information into accurate financial data. If you've designed complex scalable systems, or worked with great teams on hard problems in financial data, or are just interested in solving really hard technical problems, come join us!

Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York.

The current range for this role is $125,000 - $195,000 + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

What You’ll Do

• Design, build and train supervised and unsupervised machine learning models.
• Design and evolve machine learning pipeline for applications across the stack.
• Optimize machine learning and relevant data processing code for scale and robustness
• Document software functionality, system design, and project plans; this includes clean, readable code with comments.

Who You Are

• Proficiency with machine learning methodologies.
• Good knowledge of hosted and open source ML services like AWS SageMaker, Google Cloud ML, TensorFlow, Pytorch or others
• Experience with methods and tools (Textract, ABBYY) for extracting relationships, structure and text from documents and/or general natural language processing skills
• Proficiency in Python, R or other programming languages
• Experience working with Relational or NoSQL database storage
• Ability to communicate with all levels of collaborators on a technical level.
• A strong ownership mentality and aim to take on the most ambitious problems.
• AWS experience is a plus.
• B.S., M.S., or Ph.D. in Computer Science or similar technical field of study (or equivalent practical experience.).