Experience Requirements:

• 3-5 years of experience in implementation management, preferably within a SaaS environment.

• Proven ability to manage multiple projects simultaneously, with a strong track record of meeting deadlines and delivering high-quality results.

• Excellent verbal and written communication skills, with the ability to convey complex information clearly and concisely to customers and internal teams.

• Familiarity with SaaS platforms and experience with system integrations, particularly with payroll systems, is highly desirable.

• Strong analytical and troubleshooting skills, with the ability to identify issues proactively and develop effective solutions.

Responsibilities:

• Lead the end-to-end implementation process for new clients, including setting up their Thatch instance, importing employee data, and launching open enrollment.

• Develop and manage detailed project plans to ensure timely delivery of implementation milestones, meeting client-specific requirements and deadlines.

• Serve as the main point of contact for clients during the implementation phase, providing regular updates, addressing concerns, and ensuring customer satisfaction.

• Assist customers in integrating their payroll systems with Thatch, providing technical guidance and troubleshooting support as needed.

• Work closely with the product team to relay customer feedback, report issues, and suggest enhancements or new features to improve the platform.

Experience Requirements:

• 3-5 years of experience in a Revenue Operations, Sales Operations, or similar role at a high-growth SaaS company.

• Proficiency in Salesforce administration, reporting, and optimization.

• Strong analytical and problem-solving skills, with the ability to turn data into actionable insights.

• A collaborative mindset, eager to partner with cross-functional teams and influence decision-making.

Responsibilities:

• Manage and optimize Salesforce to ensure data integrity, usability, and alignment with sales workflows.

• Own sales reporting and analytics, delivering actionable insights to support revenue growth.

• Collaborate with sales leadership to identify and address inefficiencies in the sales process.

• Support sales forecasting, pipeline management, and strategic planning.

• Implement and track performance metrics for Account Executives (AEs) to drive accountability and results.

Experience Requirements:

• 3-5 years of experience in a Solutions Consultant, Benefits Consultant, Underwriter, or in a similar role within the health insurance or employee benefits space.

• Strong analytical skills with the ability to interpret healthcare plans, pricing, and coverage details.

• Excellent communication and consultative skills to guide brokers and employers through complex decisions.

• Experience working with health insurance products, employee benefits, or HR technology.

Responsibilities:

• Partner with brokers and prospective employer clients to assess their healthcare challenges, goals, and gaps in their current insurance offerings.

• Consult on the feasibility and advantages of transitioning to an ICHRA model, ensuring alignment with employer objectives.

• Build customized pricing proposals.

• Collaborate with the sales team to support client discussions, evaluate pricing and plan options, and address any concerns or barriers to adoption.

Education Requirements:

• BSc/ Eng level or higher qualification or above in mechatronics engineering from a respected organisation

Experience Requirements:

• 2+ years’ experience in the field.

Responsibilities:

• Awareness and knowledge of sensors, communication technologies, or control devices for various automation solutions

• Design, develop, or implement control circuits or algorithms for electromechanical or pneumatic devices or systems

• PLC programming for embedded logic programming

Education Requirements:

• ITE/Diploma level qualification in Robotics/ Computing/ electrical/mechanical or any other related subject

Experience Requirements:

• 1+ years proven professional hands-on experience.

Responsibilities:

• Support team lead with integration, calibration, and verification test

• Perform continues tests / data collection as per test plans.

• Monitor system behavior during tests and recording observations and issues.

• Perform trouble shooting and root cause analysis for observation

Education Requirements:

• Relevant certifications, Degree or Diploma in Operations Management or Office administration or related fields

Experience Requirements:

• 2-3 years’ experience in procurement, office administration, operation coordination or a similar role or experience

Responsibilities:

• Plan and organise internal meetings, conferences and client visits including securing meeting rooms, arranging catering and ensuring all equipment’s is ready and operational

• Responsible for day to day operations of office activities such as handling of office supplies, managing mail and deliveries and supporting colleagues with general administrative tasks

• Manage the asset and equipment tracking, organisation and replenishment of supplies, ensuring accurate inventory tracker for effective asset governing

Benefits:

• Maternity

• Referral program

• Flexible working hours

• Remote work

Benefits:

• Maternity

• Referral program

• Flexible working hours

• Remote work

Benefits:

• Maternity

• Referral program

• Flexible working hours

• Remote work

Benefits:

• Maternity

• Referral program

• Flexible working hours

• Remote work

Benefits:

• Maternity

• Referral program

• Flexible working hours

• Remote work

Benefits:

• Unlimited PTO

• Free lunch at the office

• Medical

• Dental

• Vision

Experience Requirements:

• 5-8 years of professional experience

Other Requirements:

• Ability to manage, motivate and nurture employees

• High levels of operational process and task execution competence with organized and hands-on approach

• Detail oriented with great communication skills and tech savvy

Responsibilities:

• Supervise and help scale the team of 15 data annotators

• Establish a team culture, nurture employees and scout for future hires

• Devise performance benchmarks and help the team hit those benchmarks

• Set up weekly and monthly reporting and tracking

Benefits:

• Great Tech Stack

• High Quota Attainment

Benefits:

• Great Tech Stack

• High OTE

• Great Training

• Career Progression

Benefits:

• A unique opportunity to work on cutting-edge AI technology that is revolutionizing the architectural industry. You'll be at the forefront of developing and implementing AI solutions that have a tangible impact on the world, aligning with mbue's vision of a “world built better with fewer errors.

• A chance to grow your (albeit already great) leadership and mentorship abilities. As the first full-time Principal Machine Learning Engineer, you will play a large role in shaping our company.

• Full-time remote position (if you’re based in Austin, TX or New York, that’s a big plus!)

• Competitive salary and equity grant

• A high-trust, high-impact environment where your voice matters and your work directly shapes the company’s success

Education Requirements:

• A degree in Computer Science, Statistics, Machine Learning, or a related field. Advanced degrees are highly desirable.

Experience Requirements:

• Extensive knowledge of and hands-on experience with computer vision and deep learning techniques

• Proven ability to lead and mentor junior ML engineers to bring leading-edge technology to market.

• Demonstrated experience in early-stage startups with mentoring and growing successful teams.

• Proven experience in early-stage startup environments, thriving in dynamic and collaborative settings, while building from the ground up.

• Proficiency in end-to-end model development, validation, and deployment.

Responsibilities:

• Leading the research and development efforts to tackle our toughest problems.

• Establish our overall training and evaluation pipeline for new solutions

• Find incremental solutions to quickly address issues we see with the models in production

• Hands on experimentation with new approaches that will empower for our next generation of capabilities

• Strategic planning with CTO and CEO Running experiments in an environment that prioritizes knowledge-sharing, inclusivity, and trust Coordinating with junior machine learning engineers and software engineers

Benefits:

• Competitive salary and equity grant

• A high-trust, high-impact environment where your voice matters and your work directly shapes the company’s success

Experience Requirements:

• Strong backend development experience in Python and FastAPI

• Familiarity with frontend technologies like React and willingness to contribute to full-stack delivery

• Experience integrating and deploying LLMs, including prompt engineering and fine-tuning

• Background in software architecture and system design

• AWS deployment knowledge, especially using ECS, Fargate, and Docker Hands-on experience with CI/CD pipelines using GitHub Actions SaaS experience, ideally building B2B products that deliver real customer value Solid product thinking—you understand business needs and shape features that deliver outcomes Comfortable managing epics, writing tickets, and coordinating engineering planning via Jira Proven track record in early-stage startups with fast-paced delivery and cross-functional collaboration

Responsibilities:

• Design, build, and maintain robust and scalable backend services using Python and FastAPI

• Deploy and manage applications in AWS using Docker and Fargate

• Own CI/CD pipelines and ensure reliable, high-quality software releases using GitHub Actions

• Translate product features into technical specifications and Jira epics/tickets

• Collaborate across engineering to remove blockers and maintain execution focus Lead the effort to ship our mbue Submittals MVP and support its launch Contribute to our SOC2 Type 2 compliance process and organize deliverables in Sprinto Prototype new features and resolve technical risks through experimentation Foster a culture of high standards, ownership, and continuous improvement

Benefits:

• 401k

• equity

• full healthcare benefits

Experience Requirements:

• 3+ years of industry experience

Responsibilities:

• Design, develop, and maintain scalable and resilient microservices that power Molg's robotic systems.

• Architect, implement, and manage containerized applications using Docker or similar technologies.

• Build and maintain APIs to facilitate seamless communication between different components of our systems, ensuring high performance and availability.

• Collaborate with cross-functional teams including frontend engineers, data scientists, and product managers to integrate new features and improve existing functionality.

• Optimize system performance and ensure high reliability and availability of backend services.

Benefits:

• equity

• 401k

• generous PTO policy

• full healthcare benefits

Experience Requirements:

• 3+ years of industry experience in CAD software development, 3D modeling software, 3D printing software, rendering and visualization software, game development, or related field.

Responsibilities:

• Developing and pushing quality code for Molg’s assembly intelligence and synthesis software that focus on the core CAD and 3D models to robotic motion, grasp planning, microfactory orchestration workflow.

• Designing and building plugin integrations with Autodesk, Solidworks, PTC, and other CAD software packages.

• Working on and contributing to Molg’s proprietary scripting language (MPL).

• Building internal tools to improve overall Microfactory orchestration and workflows.

• Collaborating with robotic, mechanical, and software engineers on customer product implementations with Molg Microfactory.

Benefits:

• salary

• equity

• full healthcare benefits

Experience Requirements:

• 3+ years of industry experience in computer vision, machine vision, or image processing in manufacturing environments

Responsibilities:

• Continuous design, development, testing, and deployment of 2D and 3D vision capabilities incorporated into the Molg Microfactories.

• Testing and verifying accuracy and precision of off-the-shelf and novel in-house vision feedback systems as it relates to robotic motion planning and grasping.

• Collaborating with robotic, mechanical, and software engineers on design and packaging of vision systems inside Molg Microfactory designs.