Benefits:

• Daily catered lunches

• Employee-led groups

• Volunteer opportunities

• Culture Crew program

• Emerging Leader program

Education Requirements:

• Targeting rising Juniors and Seniors

Experience Requirements:

• Strong desire to succeed

• Ability to self-motivate

• Willingness to ask for help

• Ability to multitask and organize

Other Requirements:

• Willing to undergo a background check

• No sponsorship requirement

• Comfortable commuting to this job's location

Responsibilities:

• Outbound prospecting (130 cold calls per day)

• Book demos for Senior Account Executives

• Participate in 1:1 coaching

• Confirm prospect attendance at scheduled demos

• Update activities and account information in CRM

Benefits:

• High level of basic salary

• Work-life balance

• Investment in professional growth

• Horizontal and free culture

• Flexible work environment

Experience Requirements:

• Over 5 years of relevant experience

• Strategic thinking for market solutions

• Strong leadership and driving force

• Ability to understand customer business

• Self-motivation and high conviction

Other Requirements:

• Artistic level of problem-solving perspectives

• Strong self-confidence in providing global value

• Proactive attitude towards new scenarios

Responsibilities:

• Product and sales planning

• Designing unrejectable proposals

• Managing customer relationships

• Building global sales strategies

• Leading business development

Benefits:

• High level of basic salary

• Work-life balance

• Investment in professional growth

• Horizontal and free culture

• Supportive atmosphere

Experience Requirements:

• Strong understanding of machine learning

• Analytical mindset for data

• Excellent communication skills

• Flexibility and proactive attitude

• Problem-solving skills

Other Requirements:

• Willingness to reside at customer sites for projects

• Ability to represent the company to clients

• Sense of humor

Responsibilities:

• On-site project management

• Data analysis and validation

• ML modeling using DAVinCI LABS

• Consulting for client needs

• Sharing technical insights

Education Requirements:

• Bachelor’s degree in Computer Science, AI, ML, or related field

• Master’s or Ph.D. in Computer Science, AI, ML, or related field (bonus)

Experience Requirements:

• 5+ years of experience in software engineering

• Proven hands-on experience with Generative AI technologies

• Solid experience working with cloud platforms (AWS, GCP, Azure)

• Deep understanding of production environments (testing, monitoring, deployment)

• Experience with ML frameworks like TensorFlow, PyTorch (bonus)

Other Requirements:

• Proficient in Python and SQL

• Familiarity with Git, CI/CD, and DevOps principles

• Strong debugging skills

Responsibilities:

• Research, design, and implement state-of-the-art algorithms in Generative AI

• Bring prototypes into production with researchers & engineers

• Optimize algorithms for scalability, cost, and performance

• Translate business needs into algorithmic solutions

Education Requirements:

• BSc in Computer Science or Engineering degree (plus)

Experience Requirements:

• Minimum 7 years of full-stack development experience

• At least 2 years in a leadership role

• Strong experience with Node, React, Python, SQL

• Experience with cloud, DevOps, and modern tooling (GCP/AWS, K8s, Docker, CI/CD)

Other Requirements:

• Excellent problem-solving skills

• Strong communication skills

• Passion for innovation and AI technology

Responsibilities:

• Lead the R&D team in developing new features

• Oversee the end-to-end development lifecycle

• Ensure high-quality code and scalable architecture

• Mentor and support team members

• Troubleshoot and resolve complex technical challenges

Experience Requirements:

• Minimum 7 years of Fullstack Engineering experience

• Hands-on experience with Node.js, Javascript, React, SQL, Typescript

• Experience with AWS/GCP cloud services

• Previous experience from startups (bonus)

• Experience with Kubernetes, Flux, Docker (bonus)

Other Requirements:

• Strong methodology of testing, documentation and monitoring

• Ability to fix issues and improve codebase readability

• Team player and self-starter

Responsibilities:

• Design, develop, and own fullstack features end-to-end

• Contribute to architectural decisions

• Write clean, testable, and well-documented code

• Diagnose, debug, and resolve complex issues

• Participate in code reviews and knowledge sharing

Experience Requirements:

• 7+ years of software development experience in SaaS

• Strong experience with Node.js, Python and SQL

• In-depth knowledge of databases and schema design

• Expertise in API development and microservices

• Experience with containerization (Docker, Kubernetes)

Other Requirements:

• Familiarity with Google Cloud/AWS

• Experience with message queues (RabbitMQ, Kafka, SQS/pubsub)

• Experience with React (plus)

• Applied AI or video editing knowledge (big plus)

Responsibilities:

• Design, develop, and maintain robust backend systems

• Ensure scalability, performance, and security

• Collaborate with front-end and data teams

• Optimize platform infrastructure for data processing

• Contribute to architecture and system design decisions

Experience Requirements:

• Hunter mentality in AdTech and MarTech industries

• 5+ years of experience in Sales or Business Development

• Success closing mid-market to enterprise deals

• Proven record of exceeding revenue targets

Other Requirements:

• Experience selling to CMOs and marketing executives

• Excellent communicator with storytelling abilities

• Strategic thinker capable of moving deals fast

Responsibilities:

• Own entire sales process from prospecting to closing

• Build relationships with marketing and creative leaders

• Establish and scale Alison.ai’s presence in the US market

• Articulate value proposition and ROI

• Represent company at industry conferences and events

Education Requirements:

• Bachelor’s degree graduate

• Degree in Communications, Business Management, Economics, Marketing, or similar fields

Experience Requirements:

• Previous experience in a similar role or a relevant internship during studies - an advantage

Other Requirements:

• Native-level English - both spoken and written

• Proficient knowledge of Microsoft Office tools (Excel, PowerPoint)

• Social media enthusiast (TikTok, FB creatives, CGI, UGC)

• Design and creative background - an advantage

• PPC or organic marketing knowledge - an advantage

Responsibilities:

• Ownership of all creative and analysis-related projects

• Existing client adjustments based on additional requests

• Feature standardization and taxonomy for clients

• Studying new clients and introductory sessions

• Collect and analyze data from marketing campaigns

Experience Requirements:

• 5+ years of experience as a Product Manager in SaaS or tech

• Experience with marketing companies, ad-tech, mar-tech, or growth teams (advantage)

• Hands-on experience managing AI-driven or data-heavy products (advantage)

• Proven experience taking products from concept to MVP to scale

• Strong technical background

Other Requirements:

• Deep understanding of marketing funnels (paid campaigns/performance marketing)

• Analytical mindset with experience defining metrics

• Excellent communication and stakeholder management skills

Responsibilities:

• Own product areas end-to-end (discovery to scale)

• Define product vision, strategy, and roadmap

• Translate business and user problems into clear PRDs

• Work closely with engineering teams to scope and deliver features

• Partner with Product Design on user research and UX flows

Experience Requirements:

• Hands-on experience in generative AI or ML

• Experience integrating AI solutions with APIs and data pipelines

• Deep expertise in multimodal learning, generative models, or agent-based frameworks

• Previous experience in leading or mentoring AI/ML teams

• Strong programming skills in Python and SQL

Other Requirements:

• Understanding of cloud platforms (AWS, GCP, Azure)

• Knowledge of AI infrastructure and MLOps best practices

• Ability to operationalize AI-assisted development tools (GitHub Copilot, Cursor)

Responsibilities:

• Lead development and optimization of ML models for video/creative analysis

• Architect scalable AI/ML pipelines and infrastructure

• Guide research and experimentation initiatives

• Mentor and grow a team of ML engineers and data scientists

• Champion AI ethics, fairness, and explainability

Benefits:

• Work with the smartest minds from Google, Microsoft, MIT, Stanford

• Flexible working hours

• Super cool and smart team

• 24X7 flow of geeky jokes

Other Requirements:

• Very strong in mathematics and computer algorithms

• Deep understanding of linear algebra, numerical analysis, optimization, computer vision, and robotics

• Good understanding and deep knowledge of Python/C++

• Ability to work in a fast-paced start-up environment

Responsibilities:

• Solve problems

• Read research papers filled with mathematical equations and implement them

• Develop and implement numerical and computer vision algorithms

• Implement code in Python and C++ in an effective, scalable and performance efficient manner

Benefits:

• Work with the smartest minds who worked at Google, Microsoft, Uber, Stanford

• Flexible working hours

• Super cool and smart team

• 24X7 flow of geeky jokes

• Build awesome libraries for your portfolio

Experience Requirements:

• 5+ years of experience with web/desktop application development

Other Requirements:

• Good understanding and deep knowledge of Python/Java/C++, JavaScript, Angular/React, HTML, CSS, MongoDB

• Ability to work in a fast-paced start-up environment

• Hands on experience with public cloud providers (AWS/Azure/Google Cloud)

• JavaScript Canvas or WebGL is nice to have but isn’t required

Responsibilities:

• Translate design mockups to actual code with ownership of end to end implementation

• Perform incremental changes to architecture with no impact to the existing application

• Write scripts to handle data from various sources and convert it into compatible formats

• Implement code in Angular, React, Python/C++ in an effective, scalable and performance efficient manner

• Work closely with UX Designers, Full Stack Developers and Chief Architect

Experience Requirements:

• 5+ years of experience in a DevOps, Site Reliability, or Platform Engineering role

• Proven experience with AWS, and GCP cloud services

• Advanced skills in Kubernetes, with expertise in OpenShift, RKE, and Rancher

• Hands-on expertise with Terraform, Ansible, and scripting languages like Bash or Python

• Experience with observability using Prometheus, Grafana, Elasticsearch, Fluentd/Filebeat, and Kibana

Other Requirements:

• Strong command over Linux system administration, cloud networking, and container orchestration

• Familiarity with GitOps, Bitbucket Pipelines, Helm, and ArgoCD

• Knowledge of secure deployment practices, disaster recovery, and high availability designs

• Red Hat, Kubernetes, or cloud certifications (e.g., RHCA, CKA, Azure DevOps Expert)

• Experience in GPU-enabled Kubernetes clusters

• Familiarity with DNS, Image Registry, or service mesh technologies

• Exposure to hybrid infrastructure environments

• Understanding of DevSecOps and compliance standards

Responsibilities:

• Provision, manage, and optimize resources across Azure (preferred), AWS, and GCP

• Architect and operate advanced Kubernetes environments — both managed and on-prem

• Develop and manage robust CI/CD pipelines using Bitbucket Pipelines, Argo Workflows, and Jenkins

• Implement and manage monitoring systems with Prometheus, Grafana, and centralized logging

• Leverage Terraform, Ansible, and scripting (Python/Bash) to build and manage infrastructure as code (IaC)

Benefits:

• Work with leading D2C brands

• Direct exposure to founders

• High autonomy

• Rapid skill acceleration

• Clear growth path

Experience Requirements:

• Performance marketing curiosity

• Consumer psychology interest

• Figma (required)

• Canva (required)

• Adobe Suite (Photoshop / Illustrator)

Other Requirements:

• Mobile-first mindset

• Attention to detail

• Structured thinker

• Basic motion skills a plus

• Portfolio link or Figma file showcasing work

Responsibilities:

• Design high-performing catalog ads

• Build scalable, feed-driven templates

• Develop structured creative variations for testing

• Create hooks, headlines, layouts, and visual hierarchies

• Translate performance insights into new creative directions

Benefits:

• Work with cutting-edge ML, AI, and NLP technologies

• Culture of learning and development

• Supportive environment to build real-world skills

• Hands-on experience with a market-leading product

• Culture valuing meaningful work and well-being

Education Requirements:

• Background in Computer Engineering, IT, or related fields is a plus

Experience Requirements:

• Prior internship, academic project, or part-time experience in client support or operations preferred

Other Requirements:

• Proficiency in Microsoft or Google tools

• Basic familiarity with ticketing tools like JIRA or CRM systems

• Strong communication, problem-solving, and documentation skills

• Detail-oriented, proactive, and comfortable in teams

• Willingness to work flexible hours if needed

Responsibilities:

• Support handling client and candidate queries within SLAs

• Identify, track, escalate, and follow up on issues

• Document support queries, solutions, and workflows

• Provide feedback to improve candidate support processes

• Perform basic troubleshooting for technical issues

Benefits:

• Work with cutting-edge ML, AI, and NLP technologies

• Culture of learning and development

• Supportive environment to build real-world skills

• Hands-on experience with a market-leading product

• Culture valuing meaningful work and well-being

Education Requirements:

• Bachelor’s degree in Computer engineering, Operations Management, or a related field

Experience Requirements:

• Strong analytical skills with the ability to interpret data

• Excellent communication and interpersonal skills

• Detail-oriented with a focus on accuracy and quality

• Proactive mindset with willingness to learn and adapt

• Proficiency in Microsoft Office suite

Other Requirements:

• A positive and go-getter attitude

• Familiarity with project management tools is a plus

Responsibilities:

• Study organizational workflows to identify improvements

• Assist the Operations team in configuring client accounts

• Engage in projects to enhance operational capabilities

• Communicate effectively with global clients

• Generate reports and dashboards to track progress

Benefits:

• Competitive base salary

• Annual bonus based on company performance

• Flexible working options available for most roles

• Learning and career development

• Access to healthcare & wellbeing programmes

Education Requirements:

• A minimum of a master’s degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field

• A PhD in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field

Experience Requirements:

• Proven experience in machine learning engineering

• Extensive experience in Python programming and knowledge in machine learning and statistics

• Demonstrated proficiency working with clinical trial data in an academic or professional setting

• Familiarity with at least one Deep Learning framework such as TensorFlow, Keras or PyTorch

• Proven ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices

Other Requirements:

• Ability to work both autonomously and collaboratively on complex projects

• Academic or industry experience in the biomedical sciences especially in respiratory diseases

• Prior experience working in clinical trials

• Experience with real world evidence

• Expertise developing machine learning models within the PyTorch framework

Responsibilities:

• Design and implement novel scientific approaches to uncover and explain key relationships within a multitude of biological data types.

• Leverage data and insights to produce robust, explainable, and accurate predictions across a variety of key biological and clinical tasks.

• Connect and collaborate with subject matter experts in biology, genomics, and medicine.

• Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models.

• Develop and embed automated processes for predictive model validation, deployment, and implementation.

Other Requirements:

• Knowledge of ROS

• Familiarity with sensors

• Low level systems programming

• Passionate about making a difference in robotics

• Enjoy working with hardware and controllers

Responsibilities:

• Work with hardware and controllers

Other Requirements:

• Passion for Rust

• Value code safety and efficiency