Benefits:

• Flexible working arrangements

• Work from home

Experience Requirements:

• Proven experience as a Software Architect or similar role, preferably within SaaS organizations.

• Expertise in modern frontend and backend technologies, including integration of third-party APIs and robust data modeling.

• Strong understanding of scalability, performance optimization, and security/compliance standards (e.g., PCI, GDPR).

• Familiarity with implementing and maintaining SDLC tools and practices.

• Excellent communication skills for effectively documenting processes and collaborating with stakeholders.

Other Requirements:

• A track record of addressing and resolving technical debt while driving innovation.

Responsibilities:

• lead the design and evolution of our frontend and backend systems

• ensuring scalability, performance, and integration capabilities

Benefits:

• Flexible working arrangements

• Work from home

Experience Requirements:

• Proven experience in a customer-facing role, preferably in a SaaS or technology company.

• Strong technical aptitude and ability to understand complex technical concepts.

• Excellent communication and interpersonal skills, both written and verbal.

• Strong project management and organizational skills.

• Ability to build strong relationships and influence key decision-makers.

Other Requirements:

• A passion for customer success and a dedication to delivering exceptional customer experiences

Responsibilities:

• managing customer relationships

• driving customer satisfaction

• ensuring the successful adoption of our software solutions

Benefits:

• No PTO Cap

• Professional Growth

• Connected Teams

• Recognition

• Start-up Culture

Responsibilities:

• Strategic development and execution of the UNITI Workspace

• Alignment with business objectives

• Overseeing the overall project lifecycle

Benefits:

• No PTO Cap

• Professional Growth

• Connected Teams

• Recognition

• Start-up Culture

Responsibilities:

• Creating a seamless and user-friendly experience

• Employing cutting-edge technologies to optimize data accessibility and user engagement

Benefits:

• No PTO Cap

• Professional Growth

• Connected Teams

• Recognition

• Start-up Culture

Responsibilities:

• Quality assurance

• Machine learning

• Innovative solutions

• Ensuring the reliability and scalability of the UNITI workspace

Benefits:

• No PTO Cap

• Professional Growth

• Connected Teams

• Recognition

• Start-up Culture

Responsibilities:

• Driving revenue growth

• Establishing and nurturing client relationships

• Understanding customer needs

• Effectively communicating the value proposition of the UNITI Workspace

Benefits:

• No PTO Cap

• Professional Growth

• Connected Teams

• Recognition

• Start-up Culture

Responsibilities:

• Creating brand awareness

• Developing marketing strategies

• Executing campaigns

• Market positioning

• Lead generation

Benefits:

• No PTO Cap

• Professional Growth

• Connected Teams

• Recognition

• Start-up Culture

Responsibilities:

• Cultivating strategic alliances with key industry players

• Fostering collaborations that enhance the UNITI Workspace ecosystem

Benefits:

• No PTO Cap

• Professional Growth

• Connected Teams

• Recognition

• Start-up Culture

Responsibilities:

• Ensuring compliance with regulations

• Safeguarding the company’s interests

• Providing legal counsel and support for contracts, agreements

Benefits:

• No PTO Cap

• Professional Growth

• Connected Teams

• Recognition

• Start-up Culture

Responsibilities:

• Talent acquisition

• Employee development

• Fostering a positive workplace culture

Benefits:

• No PTO Cap

• Professional Growth

• Connected Teams

• Recognition

• Start-up Culture

Responsibilities:

• Managing the financial aspects of the startup

• Overseeing budgeting, financial planning, and reporting

Benefits:

• High-salaries

Education Requirements:

• Bachelor’s/Master’s degree in Mathematics, Computer Science, Computational Linguistics (or equivalent)

Experience Requirements:

• At least 3+ years of relevant experience as a software developer

• Prolific experience as a Natural Language Processing expert or other similar roles

• Proven experience in Natural Language Processing tricks and techniques for semantic extraction, data structure, and modeling

• Good understanding of text representation

• Strongholds of Machine Learning frameworks, like Keras or PyTorch, and libraries, like scikit-learn

Responsibilities:

• Adopt powerful text representations for the transformation of natural language into compelling features

• Contribute to the development of new features, issue fixes, and introduce new tools and concepts

• Build Natural Language Processing applications using features developed by the transformation of natural language data

• Simplify the deployment and design of complicated conversational systems

• Identify appropriate dataset for the application of Machine Learning methods

Benefits:

• A highly competitive compensation package

• The chance to be a key player at a startup that’s growing fast and revolutionizing the healthcare space

• An incredibly international team of smart and supportive people

Education Requirements:

• Last year of Engineering, IT, Administration or International Business

Other Requirements:

• Advanced and fluid English

• Analytical mindset

• Customer empathy and great service attitude

• Excellent written and verbal communication

• Data analysis - SQL basic experience (or willing to learn)

• A high degree of organizational skills

• Self-driven and proactive

Responsibilities:

• Interpret data, analyze results from trials and provide ongoing reports

• Identify, analyze, and interpret trends or patterns from the customer base

• Build forecasts, recommendations, and strategic/tactical plans based on business needs and market knowledge

• Handle all US and LATAM customer support cases globally through phone and email submissions

• Support ticket documentation

Experience Requirements:

• Previous experience

Other Requirements:

• Adobe suite (Illustrator, Photoshop, After Effects and Premiere)

• 100% written English

• Self-management

Responsibilities:

• create flyers, white papers, product sheets, infographics Demo videos

Experience Requirements:

• Fullstack skillset

• Ability to adapt quickly

Other Requirements:

• Enjoy solving new problems in uncharted territory

• Excel in a fast-moving startup environment

• Desire to have significant influence within a small team and play a key role in shaping the product

Responsibilities:

• Working on complex problems at the cutting edge of Applied AI

• Developing multi-agent flows, fine-tuning, and advanced prompt engineering techniques

• Ingesting and processing large datasets

• Developing new features end-to-end

Benefits:

• stock options

• benefits

• additional perks

Experience Requirements:

• at least 6 months of relevant internship experience in a similar role

Other Requirements:

• Practical experience through coursework, internships, or personal projects in applying machine learning techniques, ideally with some exposure to NLP models, prompt engineering, and working with LLMs

• Familiarity with version control (Git), CI/CD pipelines, and deploying ML models or services locally or in cloud environments

• Proficiency in Python for building and testing ML models, with experience using popular ML and data libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy

• Enthusiasm for customer-facing work, including the ability to understand specific use cases and adjust ML models accordingly

Responsibilities:

• Quickly deploy and test the current LLM-powered pipeline locally for specific customer use cases, making necessary adjustments to ensure alignment with customer requirements, and documenting findings clearly

• Take ownership of deploying product improvements based on customer-specific requests, pushing code and configuration changes to GitHub, and collaborating closely with product and engineering teams for smooth integration

• Build and maintain a repository of prompts for various scenarios that would be leveraged for any prospective customer proof of concept, iterating on these to optimize performance and ensure they are production-ready when needed

• Lead technical PoC projects with prospective customers, showcasing the capabilities of the ML models, addressing their specific needs, and gathering feedback to inform future improvements

• Collaborate with the team to ensure continuous monitoring of deployed models, focusing on improving accuracy and performance within a structured ML framework while learning best practices for pipeline maintenance

Benefits:

• stock options

• benefits

• additional perks

Experience Requirements:

• at least 5 years

• Proven experience in designing, training, benchmarking, and fine-tuning machine learning models, particularly with NLP models and large language models (LLMs)

Other Requirements:

• Experience in building scalable ML pipelines using tools such as Kubeflow

• Knowledge of automating and monitoring ML workflows to ensure consistent model performance in production

• Hands-on experience with cloud platforms, including deploying models, managing cloud resources, and using relevant APIs for data intake, storage, and processing

• Great communication skills with the ability to convey complex findings to non-technical audiences

Responsibilities:

• Design and implement scalable machine learning pipelines, optimizing prompt engineering workflows to enhance accuracy and efficiency in submission intake processes across multiple insurance use cases

• Evaluate and benchmark open-source large language models (LLMs), selecting and fine-tuning the most effective ones to address business-specific requirements while maintaining an eye on adaptability and future innovation

• Continuously research and incorporate the latest advancements in prompt engineering and model optimization to refine prompts for precision and relevance, contributing to a robust, cutting-edge ML infrastructure

• Collaborate cross-functionally, serving as a technical lead for junior team members, providing mentorship and guidance to elevate team performance and technical knowledge

• Ensure production-grade deployment standards, emphasizing scalability, reliability, and compliance with insurance data handling policies, balancing rapid iteration with stability

Benefits:

• stock options

• benefits

• additional perks

Education Requirements:

• B.S. in Computer Science or a related technical discipline, or equivalent experience

Experience Requirements:

• 6+ years of software engineering, systems engineering, or technical product/program management experience

• Experience owning a SaaS implementation or delivery

Other Requirements:

• Knowledge of user needs, gathering requirements, and defining scope

• Exceptional project management skills

• Experience operating autonomously across multiple teams, demonstrated critical thinking, and thought leadership

• Communication experience and previous successes in defining processes

• Organizational coordination experience and experience establishing work relationships across multi-disciplinary teams and multiple partners

• Analytical and problem-solving experience with complex systems and processes

• Coding competence in Javascript and SQL

Responsibilities:

• Lead aligned program teams to efficiently deliver successful customer implementations on time with quality

• Develop and own and leverage project plans to effectively and proactively communicate program status, issues, and risks to stakeholders

• Define and track key metrics and key quality and performance indicators and drive cross functional execution of program deliverables

• Partner with cross functional teams to drive technical analysis, design, development, testing, implementation, and post implementation phases

• Drive internal and external process improvements across multiple teams and functions including reducing the manual efforts through automation

Benefits:

• stock options

• benefits

• additional perks

Education Requirements:

• B.S. in Computer Science or a related technical discipline, or equivalent experience

Experience Requirements:

• 10+ years of experience with building and managing a team of Software Engineers and Technical Program Managers

Other Requirements:

• Proven communication and program management skills

• Proven interpersonal skills, including relationship building and collaboration within a multi-disciplinary, cross-functional team

• Experience building, growing, and leading a technical program management organization through design and execution of complex, cross functional programs

• Experience in growing organizations and developing a team culture

• Direct experience leading enterprise B2B programs

• Knowledge of software development processes

Responsibilities:

• Build and scale a world class delivery organization to support multiple fast-paced customer deliveries

• Ensure that all program teams are efficiently delivering successful customer implementations on time with quality

• Responsible for people management - hiring, developing and implementing organizational structure, delivering performance reviews, providing continual feedback, coaching and career growth

• Work with partner teams to resource, develop end-to-end program plans, influence teams to deliver against them, and keep the org and leadership informed on progress

• Work across many organizations to align plans, manage dependencies, drive execution and deliver broad solutionsWork with teams to set milestones, communicate program statuses, and identify/address potential setbacks

Benefits:

• stock options

• benefits

• additional perks

Experience Requirements:

• 3-5 Years of experience in P&C or Specialty insurance, specifically underwriting, operations, product, process or systems strongly preferred

• Experience in customer success, customer service or other client-facing, relationship management roles, or experience as a project manager in software delivery or IT project management

Other Requirements:

• Strong understanding of software development methodologies (Agile, Scrum, Waterfall, etc.)

• Excellent communication and interpersonal skills, with the ability to manage relationships with both internal teams and customers

• Ability to manage multiple projects simultaneously, while ensuring quality and timely delivery

• Solid experience in risk management, issue resolution, and stakeholder management

• Knowledge of project management tools (e.g., Jira, MS Project, Asana) and software development lifecycles

• A customer-centric mindset with a focus on delivering exceptional results

Responsibilities:

• Project Planning & Execution

• Stakeholder Coordination

• Documentation & Reporting

• Risk Management

• Quality Assurance & Testing