Benefits:

• Innovative company culture

• Flexible work schedules

• Family paid leave

• Paid healthcare for employees

• 401k

Experience Requirements:

• 5+ years of relevant experience in marketing and product marketing

• Experience in working with sales teams in B2B

• Proven track record of managing complex projects and delivering them on time

Other Requirements:

• Experience in cybersecurity is required

• Exceptional communication skills, with the ability to craft and narrate engaging stories

• Data-oriented mindset, with the ability to leverage data and insights

• Self-starter with the ability to work proactively and take ownership

• Previous startup experience

Responsibilities:

• Written and verbal communication via marketing materials (e.g. case studies, seller enablement materials, battle cards) and customer-facing content

• Engage in cross-company, client, and broker discussions to glean insights that inform marketing claims, content creation, messaging, and positioning

• Go deep to become the go-to expert for why anyone should choose Resilience’s technology, data science, and solutions by understanding the customer, category, culture, and company

• Advocate for existing and prospective users and buyers to win against the competition

• Collaborate with cross-functional teams such as product managers, underwriting, sales, customer success, and marketing

Benefits:

• Innovative company culture

• Flexible work schedules

• Family paid leave

• Paid healthcare for employees

• 401k

Education Requirements:

• Bachelor's degree in computer science, information security, risk management, and an MBA

Experience Requirements:

• 7+ years of experience with cyber risk management principles and frameworks such as CMMC, GDPR, HIPAA, ISO 27001, NIST CSF, PCI DSS, etc.

• 2+ years of experience in a consultative or advisory role

Other Requirements:

• Strong communication and interpersonal skills to effectively collaborate with mid-level to C-suite stakeholders

• Ability to assess the impact of security vulnerabilities and weaknesses in a company’s networks and quickly recommend changes to processes and technologies to remediate

• Experience in conducting risk assessments and developing risk mitigation strategies

• Understanding of incident response procedures and best practices

• Excellent analytical and problem-solving skills

• Relevant professional certifications (e.g. CISSP, CISA, CISM, CRISC) are a plus

• Ability to work independently and manage multiple tasks in a fast-paced environment

• Strong attention to detail

• Ability to work in a self-directed environment that is highly collaborative and cross-functional

Responsibilities:

• Participate in customer engagements to translate security concepts into risk impact

• Create impactful experiences for key customer stakeholders which include mid-level through C-suite security, risk, and finance professionals

• Assess the impact of security vulnerabilities and weaknesses in a company’s networks and quickly recommend changes to processes and technologies to reduce customer cyber risk

• Own the technical solution response to the customer and help deliver a comprehensive Resilience solution response that leverages the Resilience SaaS portal and your expertise

• Present the solution proposal to the customer, demonstrate how it reduces the customer’s risk and the financial impact of that risk reduction, and how the solution is differentiated from the competition

Education Requirements:

• Bachelor's or advanced degree in finance, mathematics, physics, computer science, engineering, or a related quantitative field

Experience Requirements:

• 3+ years' experience in investment management, financial services, or other industries with significant exposure to financial instruments and concepts, especially risk

Other Requirements:

• Highly entrepreneurial spirit and enthusiasm for the role of technology and AI in finance

• Knowledge of the institutional investment market

• Robust analytical and quantitative skill set

• Ability to sell using a consultative approach

• Ability to communicate credibly about investments, risk, and technology services

• Ability to explain completely new portfolio and risk-related concepts and tools intuitively

• Ability to interact with executives and senior staff

• Ability to multi-task in a fast-paced, results-oriented environment

• Ability to work independently and within cross-disciplinary teams

• Ability to create and maintain marketing materials

Responsibilities:

• Source and qualify business opportunities

• Responsible for the full sales cycle and account strategy for the institutional investor market

• Build long-term relationships through continuous exploration and understanding of client needs

• Develop and execute the strategic business plan

• Manage multiple opportunities through the full sales cycle simultaneously

Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Experience Requirements:

• Strong sense of details and ability to be in the user shoes.

• Strong technical background and experience building high quality UX/UI products.

• Excellent knowledge of modern javascript (ES6) and tooling environment (npm, babel, webpack ).

• Team player and “get-the-job” done attitude, outgoing and curious.

• Experience working with modern front end frameworks (React,Redux, Angular, ...).

Other Requirements:

• Experience integrating design mockups using CSS3 frameworks (Bootstrap, Bulma, ...).

• Experience working on and managing real time applications (WebSockets)

• Desire to learn about deep learning technology.

Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Experience Requirements:

• 1-2 years proven experience in Customer Success in a B2B/B2C Saas company.

• Deep understanding of SaaS products and services.

• A track record of hitting or overachieving sales goals.

• Excellent communications skills (English & French).

• Entrepreneurial or startup experience is a plus.

Other Requirements:

• Desire to learn about deep learning technology.

Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Experience Requirements:

• 1-2 years proven experience in online marketing and customer acquisition, ideally in a B2B/B2C Saas company.

• Experience with online marketing softwares and funnel optimization tools.

• Data oriented mind and ability to set up an extremely efficient customer acquisition process.

• Desire to learn about deep learning technology.

Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Experience Requirements:

• 4+ years of practical experience on a full-stack, scalable, cloud-based systems in a fast-moving, iterative environment

• Desire to learn about deep learning technology

Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Education Requirements:

• Extensive experience or academic records (Msc. or PhD in research area )

Experience Requirements:

• Desire to learn about deep learning technology

Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Experience Requirements:

• 4+ years of practical experience or proven track record (projects, papers : ideally at ICML, ACL, EMNLP, TACL, CVPR, ICCV, or NIPS.) on Deep Learning

Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Education Requirements:

• Extensive experience or academic records (Msc. or PhD in research area ) in deep learning techniques

Education Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work experience)

Experience Requirements:

• 8+ years iOS development experience

Other Requirements:

• Strong proficiency in Swift

• Experience with iOS frameworks such as SwiftUI, UIKit, CoreData/Realm, Core Audio, etc.

• Understanding of Apple's design principles and interface guidelines

• Experience with performance and memory tuning tools

• Familiarity with RESTful APIs to connect iOS applications to back-end services

• Knowledge of modern mobile architecture like MVVM, MVP, etc.

• Experience with version control systems (e.g., Git) and development methodologies

• Excellent problem-solving and debugging skills

• Strong communication and collaboration skills

• Ability to work independently and as part of a team in a fast-paced environment

Responsibilities:

• Develop, maintain, and optimize iOS applications

• Leverage Apple technologies

• Integrate with APIs and services

• Troubleshoot and resolve bugs

• Ensure code quality and automation

Education Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work experience)

Experience Requirements:

• 10+ years full-stack web development experience with Ruby on Rails

Other Requirements:

• Strong proficiency in front-end technologies

• Proficiency in relational databases and SQL

• Experience with GCP, Azure, AWS, and Heroku

• Experience with RESTful API design and integration

• Experience with version control systems (Git)

• Excellent problem-solving skills

• Strong communication and collaboration skills

• Ability to work independently and as part of a team

Responsibilities:

• Develop and maintain web applications

• Integrate with third-party APIs

• Work on AI tech integration

• Optimize database schemas

• Write efficient SQL queries

Education Requirements:

• Master's degree in Computer Science, AI/ML, or a related field (or equivalent work experience)

Experience Requirements:

• 8+ years backend development experience

Other Requirements:

• Strong background in AI and ML

• Proficiency in Python, Rust, Ruby, Java, or C++

• Knowledge of AI APIs and frameworks

• Experience designing and optimizing complex technology

• Experience with GCP, Azure, AWS, and Heroku

• Experience with version control systems (Git)

• Excellent problem-solving and debugging skills

• Strong communication and collaboration skills

• Ability to work independently and as part of a team

Responsibilities:

• Integrate AI technologies into Alice apps

• Collaborate with cross-functional teams

• Develop and maintain AI-powered features

• Work on advancements in AI tech

• Design and implement performant APIs

Education Requirements:

• Bachelor's degree in Business Administration, Marketing, or a related field (or equivalent work experience)

Experience Requirements:

• 10+ years in customer support or product management roles

Other Requirements:

• Strong communication skills

• Experience analyzing customer feedback

• Technical skills to help customers

• Experience with CRM systems

• Excellent problem-solving skills

• Strong communication and collaboration skills

• Ability to work independently and as part of a team

Responsibilities:

• Provide product support to customers

• Follow-up with customers

• Identify opportunities for product improvement

• Collaborate with cross-functional teams

• Maintain deep understanding of product offerings

Benefits:

• Choice of medical, dental, and vision insurance plans for you and your family

• Flexible paid time off and 10+ holidays per year

• A stipend to upgrade your home office for fully-remote roles

• 401k for US-based employees

Education Requirements:

• Bachelor's degree in Computer Science, Machine Learning, Statistics, or other fields of advanced quantitative study; advanced degree preferred

Experience Requirements:

• 2 years of experience in a people management role with direct reports, excluding tech lead positions

Other Requirements:

• Strong proficiency with the latest Large Language Model (LLM) technologies

• High proficiency in a procedural programming language (e.g. Python)

• Strong communication skills with the ability to distill complex concepts into understandable insights for non-technical stakeholders

• Strong leadership and mentorship skills and experience, with a passion for guiding and developing other team members

• Previous experience in the legal or healthcare technology fields is a plus, but not required

Responsibilities:

• Develop and implement career progression frameworks to guide the growth of your direct reports

• Provide mentorship, coaching, and resources to support the technical and career development of team members

• Foster a culture of continuous learning and professional growth within the organization

• Collaborate with engineering and product teams to define the strategic direction of the product for the assigned squad

• Coordinate with cross-functional partners to align on product priorities and roadmap objectives

Benefits:

• Work on cutting-edge technology in ambitious research projects

• Thrive in a dynamic company that values new ideas and innovation

• Contribute to impactful projects across various high-growth sectors

Education Requirements:

• Advanced degree in computer science, data science, or artificial intelligence

Experience Requirements:

• Experience in applied AI research

Other Requirements:

• Strong algorithmic skills and experience in data analysis

• Solid foundation in machine learning and deep learning concepts

• Experience using and customizing large language models (LLMs) for specific applications

• Proficiency in programming languages and tools: Python, ML libraries (TensorFlow, PyTorch), and data science tools (Pandas, NumPy)

• Ability to document work thoroughly and produce scientific reports or publications

• Curiosity, analytical mindset, and scientific rigor

Responsibilities:

• Research and Development

• Development and Implementation

• Algorithmic Skills

• Data Manipulation and Analysis

• Documentation and Publication

Benefits:

• Be part of a high-growth company that places innovation and client satisfaction at the heart of its strategy

• Work in a collaborative, dynamic environment that supports personal and professional development

• Have the opportunity to work with cutting-edge technology solutions that are transforming businesses

Education Requirements:

• Degree in Business, Marketing, or Engineering

Experience Requirements:

• Proven experience in B2B sales, preferably in technology or artificial intelligence

Other Requirements:

• Excellent communication and negotiation skills

• Familiarity with complex sales cycles and corporate decision-making processes

• Ability to work independently while demonstrating strong teamwork skills

• Highly organized, proactive, and able to manage multiple projects simultaneously

• Proficiency with CRM tools and sales reporting

Responsibilities:

• Prospecting and Business Development

• Client Relationship Management

• Presentations and Demonstrations

• Negotiation and Closing

• Market Analysis

Benefits:

• Paid Parental Time Off

• Advanced Degrees

• Continuous Education

• Relax and recharge

• Health coverage

Experience Requirements:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Responsibilities:

• managing the creation and development of complex enterprise AI solutions

• driving tangible business value

Benefits:

• Paid Parental Time Off

• Advanced Degrees

• Continuous Education

• Relax and recharge

• Health coverage

Experience Requirements:

• design

• develop

• implement enterprise AI solutions

Responsibilities:

• design

• develop

• implement enterprise AI solutions

Benefits:

• Flexible Working Hours

• Competitive Compensation

• Competitive Medical, Dental, Vision, Life Insurance

• 401k with up to 6% matching

• Unlimited PTO

Experience Requirements:

• 3+ Years of ML Engineering Experience

• Proven experience in machine learning engineering, particularly with LLMs and retrieval-based systems

• Strong software engineering skills

Other Requirements:

• Excellent problem-solving abilities and a passion for creating innovative AI-driven solutions

• Strong communication and team collaboration skills

Responsibilities:

• Researching, building, and evaluating novel LLM-powered enterprise applications

• Developing robust Text-to-SQL systems for interacting with enterprise data sources

• Building and maintaining Retrieval Augmented Generation (RAG) systems for diverse data sources