Benefits:

• Employee Stock Options

• Extensive Health Insurance Coverage

• Team Outings

• Delicious Meals and Snacks at the Office

• Generous Leave and Paid Time Off Policies

Experience Requirements:

• Should have a knack for customer faced writing, research and implementation.

• Should be able to put themselves in the shoes of the end users while designing (UXknowledge is a plus).

• Good awareness of AI at user level / preliminary ML level will be preferred.

• Confident and can take ownership of their work.

• Demonstrating professional attitude to work and work environment

Other Requirements:

• Good communicator within the team and in front of the customers as well.

• For designers, fresh graduates with internship experience in content / copy / UX / AI can work well.

• For Sr. Designers, people with 2 to 4 years of experience in copy / UX / AI / AI content related roles would be good

Responsibilities:

• Understand Customers and their end users through research and analysis.

• Conceptualise and create user journey workflows for voice bots.

• Write required conversation pieces for voice bots to cover all user scenarios.

• Collaborate with multiple functions and own the user experience of the voice bots.

• For Sr.Designers, Collab with CUX teammates and mentoring/guiding/review responsibilities

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

Experience Requirements:

• 5+ years of experience in a combination of software development, production operations, DevOps, infrastructure engineering, or security roles

Other Requirements:

• Strong application development experience in Javascript and Python, particularly with RESTful API design and development using a service-oriented architecture

• Strong experience with cloud platforms (AWS, GCP, or Azure)

• Proficiency in container orchestration technologies (e.g., Kubernetes, Docker)

• Solid understanding of CI/CD pipelines and automation tools (Github Actions, ArgoCD, Jenkins, GitLab CI, etc.)

• Experience with infrastructure as code (Terraform, Ansible, etc.)

• Hands-on experience with monitoring and logging tools (Datadog, Prometheus, Grafana, ELK stack, etc.)

• Strong experience with Bash, and other similar scripting languages

• Solid understanding of frontend frameworks, particularly React, and their interaction with backend services

• Strong problem-solving skills and attention to detail

• Experience in handling large-scale distributed systems

Responsibilities:

• Software Development and Operations

• System Monitoring & Maintenance

• Infrastructure Automation

• Incident Management & Troubleshooting

• Performance Optimization

Education Requirements:

• Currently pursuing a Bachelor's degree in Computer Science or a related field

Other Requirements:

• Strong analytical and problem-solving skills

• Excellent communication and collaboration abilities

• Familiarity with agile development methodologies

• Ability to work in a fast-paced and dynamic environment

• Detail-oriented with good organizational skills

• Proficiency in common office software (e.g., Microsoft Office, Google Workspace)

• Proactive, self-starter approach to professional delivery

• Understanding of basic project management concepts

Responsibilities:

• Product Support and Documentation

• Market Research and Customer Insights

• Cross-Functional Collaboration

• Product Testing and Quality Assurance

• Customer Support and Feedback

Education Requirements:

• B.Sc. or higher in Computer Science or similar

Experience Requirements:

• 15+ years of experience developing backend systems with passion for excellence

• 10+ years of experience in Python

• 5+ years of experience with tools such as containers, CI/CD, testing / monitoring / logging

• Experience with REST APIs, server-side API integration, queues and distributed systems

• Knowledge of ORM, SQL and Data Modeling

Responsibilities:

• Help us build a world class scalable backend platform

• Responsible for the end-to-end feature lifecycle: starting from design and architecture, through implementing, testing, and releasing the feature

• Take part in architecture design and technological leadership

Education Requirements:

• B.Sc. or higher in Computer Science or similar

Experience Requirements:

• 10+ years of experience developing backend systems with a passion for excellence

• 5+ years of experience in Python

• 5+ years of experience with tools such as containers, CI/CD, testing/monitoring / logging

• Experience with REST APIs, server-side API integration, queues, and distributed systems

• Knowledge of ORM, SQL, and Data Modeling

Responsibilities:

• Help us build a world class scalable backend platform

• Responsible for the end-to-end feature lifecycle: starting from design and architecture, through implementing, testing, and releasing the feature

• Take part in architecture design and technological leadership

Education Requirements:

• BSc./MSc. In CS or similar – an advantage

Experience Requirements:

• 5+ years experience as a Machine Learning Engineer

• 10+ years of experience with Python/Java/Scala

• Strong understanding of distributed systems, object-oriented programming and design patteri

• Distributed Compute frameworks such as Spark, Dask, Ray etc

• Hands-on experience designing, training, and deploying machine-learning models

Responsibilities:

• Work on pecans’s core data and machine learning infrastructure

• Create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation

Education Requirements:

• BSc./MSc. In CS or similar – an advantage

Experience Requirements:

• 10+ years experience as a Machine Learning Engineer

• 15+ years of experience with Python/Java/Scala

• Strong understanding of distributed systems, object-oriented programming and design pattern

• Distributed Compute frameworks such as Spark, Dask, Ray etc

• Experience with REST APIs, server-side API integration, queues and distributed systems

Responsibilities:

• Work on pecans’s core data and machine learning infrastructure

• Create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation

Education Requirements:

• Bsc in a relevant field

Experience Requirements:

• 5 years of experience as a data scientist working on tabular data

• Proficient in Python, SQL, and Spark

• Experience in creating measurable value with ml (defining KPI’s, designing AB tests, monitoring)

• Experience with time series

• Experience with AWS / Databricks – advantage

Responsibilities:

• Work at the forefront of the data world, optimizing predictive models and assisting our clients to use those predictions to affect their business

• Continuously helping our clients achieve their business goals, and reinforce the value of Pecan’s modules, and the ease of use of our platform

• Handle complex data science challenges using state-of-the-art techniques such as custom loss-functions, auto-encoders, embeddings, LSTM, and many more

Benefits:

• Medical insurance

• Unlimited vacation time for exempt employees

• Competitive salary & stock options

• Commuter benefits

Experience Requirements:

• Experience managing high performing and diverse software engineering teams

• Familiarity with full stack development, especially with Typescript and React

• Ability to work in a fast pace and navigate ambiguous situations at a startup

• Previous experience working as a frontend or full stack engineer and technical leader

• Strategic instincts and the ability to do the best thing for the company overall

Responsibilities:

• Manage, lead, and mentor engineers on the product engineering team

• Work closely with Engineering, GTM, Design and PM leadership to plan product strategy and build novel products

• Drive execution of software development, fostering a culture of innovation and collaboration

• Provide hands-on technical leadership to ensure a cohesive product experience and the right technical abstractions

• Work with enterprise customers to understand their needs and execute quickly