Experience Requirements:

• 10+ years of experience in GTM strategy, sales operations, or revenue operations, with leadership experience in SaaS or healthcare technology.

• Experience working at a technology startup and/or growing a business from the beginning.

Responsibilities:

• Develop and execute a comprehensive GTM strategy that ensures seamless alignment between marketing, sales, solution engineering, and customer success.

• Define ICP (Ideal Customer Profile) and Target Market Strategy, ensuring that sales and marketing efforts are focused on high-value opportunities.

• Own end-to-end sales funnel performance, ensuring alignment across lead generation, qualification, pipeline conversion, and customer retention.

• Drive cross-functional team adherence to emtelligent’s evolving sales process.

• Oversee CRM (HubSpot) and sales tech stack management, ensuring data accuracy, reporting consistency, and operational efficiency.

Experience Requirements:

• 15+ years of experience in solution engineering, technical sales, or pre-sales engineering, with at least 5 years in a leadership role.

• Deep expertise in healthcare IT and data interoperability and cloud-based AI/ML solutions.

Responsibilities:

• Own the pre-sales technical process, ensuring clear alignment between customer needs and the capabilities of our NLP platform.

• Define the pilot framework, including success metrics, implementation roadmaps, and integration requirements.

• Establish a solution engineering foundation of customer credibility and the structure and processes that will enable you to build a team capable of delivering world-class technical support to customers.

• Ensure customers can successfully integrate and scale our NLP technology within their environments.

Education Requirements:

• Bachelor’s degree in Computer Science or related field (or equivalent experience).

Experience Requirements:

• 5+ years of experience in Python, API and web development.

Responsibilities:

• Design, build, and grow full stack solutions with clean, efficient, and maintainable code in Python for server-side logic.

• Work with cross-functional teams to execute complex web development projects from concept to deployment aligning on objectives and timelines.

• Work with and develop APIs to support both internal use and client-facing applications

• Develop and maintain algorithms and libraries with a clear focus on building software that is efficient and scalable.

Education Requirements:

• Bachelor’s degree in Computer Science or related field (or equivalent experience).

Experience Requirements:

• 5+ years of experience in web development implementing front-end code to seamlessly integrate with existing back-end APIs.

Responsibilities:

• Design and develop responsive and interactive user interfaces using HTML, CSS, and modern JavaScript frameworks.

• Work closely with UX/UI designers and cross-functional teams to create responsive, engaging interfaces.

• Implement, maintain, and improve front-end architectures using modern frameworks like React, Vue, or Angular.

• Be able to understand and work with code written in Python for server-side logic as needed.

Benefits:

• Equity

Experience Requirements:

• Top-tier management consulting or similar professional client service experience

• Experience in business development or strategic partnerships

• Domain expertise in AI, advanced manufacturing and/or semiconductors

Other Requirements:

• Exceptional written, verbal, and interpersonal communication skills

• Entrepreneurial mindset with a strong sense of ownership, high level of motivation to succeed, and adaptability to fast-paced environments

• Willingness to travel domestically and internationally as required

• Operating experience in a startup or similar entrepreneurial environment

• Degree in engineering, science, or computer science

Responsibilities:

• Developing Normal's GTM strategy in collaboration with cross-functional teams, and driving its execution, from outreach to deal closure and partnership success with enterprise organizations.

• Working closely with customers to understand their needs and objectives, and position Normal as a transformation partner to address their business goals.

• Gaining a deep understanding of the enterprise AI landscape and Normal’s relevant application landscape in advanced manufacturing, defining market positioning and key customer segments, creating messaging and sales collateral, and driving the execution of marketing and business development initiatives.

• Building and maintaining a growing enterprise partnership ecosystem, managing sales pipeline activities through robust processes and tools.

• Driving cross-functional coordination with internal stakeholders including engineering, product, marketing, legal and finance to ensure partnership success.

Benefits:

• 100% paid comprehensive medical coverage, including vision and dental, and HSA plan options for employees and their dependents

• Health & wellness app reimbursement

• On-site gym

• Free lunch

• 12 company holidays and flexible time off Generous parental leave: 18 weeks for birth parents and 12 weeks for non-birth parents Hybrid work environment: 3 days a week onsite and two days work from home Twice yearly multi-day offsites Safe harbor matching 401(k) Tax Advantaged Accounts including FSA, Dependent Care FSA, HSA, and commuter benefits Employer Paid Basic Life & AD&D Short Term and Long Term Disability

Education Requirements:

• PhD in biological sciences

Experience Requirements:

• at least 5-year experience in RNA-targeted small molecule discovery

• Proven hands-on experience in working with RNA targets and related screening technologies including but not limited to ASMS, ALIS, Microarray, SPR, ITC.

• Ability to evaluate newer methods as appropriate and implement novel approaches to screen RNA as needed.

• Ability to independently drive, manage, execute, and deliver results on key programs under tight timelines.

• Ability to work in a collaborative environment to enable integration of state-of-the-art technology platform with RNA biology to accelerate the program pipeline.

Responsibilities:

• Work with company leadership to advance our strategy for targeting RNA with small molecules and RNA degraders.

• Develop RNA screening strategy, establish screening platform and relevant technologies internally and/or in collaboration with external partners including but not limited to ASMS, Microarray, SPR, ITC, and/or other relevant biophysical methods. In addition, evaluate any new methods and implement them as necessary.

• Enable RNA-directed small molecule drug discovery efforts. Establish validated processes for small molecule hit ID, validation, and lead optimization for RNA targets. Deliver on program requirements in a timely manner.

• Collaborate with the drug discovery, ML data and ML teams to build an integrated workflow to support RNA biology programs.

• Provide scientific leadership and perform day-to-day lab activities.

Education Requirements:

• A licensed litigation lawyer with 8+ years of litigation experience in a top tier U.S. law firm.

Experience Requirements:

• 8+ years of litigation experience in a top tier U.S. law firm.

• Experience in plaintiff side class actions, mass torts, and mass arbitration is a big advantage.

Other Requirements:

• Active membership in good standing with the Arizona Bar and possession of a valid Arizona Law License.

• Top-notch legal expertise and a passion for discussing legal cases.

• Experience handling a variety of litigation matters, including research, drafting pleadings, motion practice, and client communication.

• Proficiency in conducting legal research using online databases and resources.

• Strong relationship-builder with outstanding communication skills, both verbal and written.

• Ability to adapt to a changing environment, and to lead an entire project from beginning to end.

• Reliable and trustworthy.

• Must be legally authorized to work in the United States without the need for employer sponsorship.

Responsibilities:

• Develop and manage strong relationships with key channel partners as the primary point of contact.

• Take ownership of complicated litigation issues and follow through to resolution.

• Manage multiple cases simultaneously, ensuring deadlines are met and necessary documents are filed in a timely manner.

• Analyze legal issues, assess the strengths and weaknesses and develop strategies to achieve favorable outcomes.

• Engage in all aspects of litigation, including court filings, court appearances, discovery, and settlement negotiations.

Education Requirements:

• A licensed litigation lawyer with 8+ years of litigation experience in a top tier U.S. law firm.

Experience Requirements:

• 8+ years of litigation experience in a top tier U.S. law firm.

• Experience in plaintiff side class actions, mass torts, and mass arbitration is a big advantage.

Other Requirements:

• Active membership in good standing with the Arizona Bar and possession of a valid Arizona Law License.

• Top-notch legal expertise and a passion for discussing legal cases.

• Experience handling a variety of litigation matters, including research, drafting pleadings, motion practice, and client communication.

• Proficiency in conducting legal research using online databases and resources.

• Strong relationship-builder with outstanding communication skills, both verbal and written.

• Ability to adapt to a changing environment, and to lead an entire project from beginning to end.

• Reliable and trustworthy.

• Must be legally authorized to work in the United States without the need for employer sponsorship.

Responsibilities:

• Develop and manage strong relationships with key channel partners as the primary point of contact.

• Take ownership of complicated litigation issues and follow through to resolution.

• Manage multiple cases simultaneously, ensuring deadlines are met and necessary documents are filed in a timely manner.

• Analyze legal issues, assess the strengths and weaknesses and develop strategies to achieve favorable outcomes.

• Engage in all aspects of litigation, including court filings, court appearances, discovery, and settlement negotiations.

Benefits:

• Generous stock option package

• Competitive compensation package

• Comprehensive health, dental and life insurance benefits

• 3 weeks paid vacation

• Flexible working hours and work from home options

Experience Requirements:

• Proven experience (3+ years) as a Technical Writer in a technology-driven environment.

Responsibilities:

• Develop, update, and maintain high-quality technical documentation, including user manuals, FAQs, and application notes for the Apera Vue vision system software

• Collaborate with cross-functional teams in-office to locate, review, and standardize existing documentation.

• Create clear tutorials, instructional content, and diagrams that support user understanding and product adoption.

• Ensure accuracy, consistency, and alignment with brand standards in all documentation.

• Maintain up-to-date documentation in response to product updates and feature enhancements.

Benefits:

• Competitive compensation

• equity options

• benefits

Education Requirements:

• Bachelor’s or Master’s degree Commerce, administration, or similar.

• CPA designation.

Experience Requirements:

• 5+ years of experience, preference for experience in the tech industry.

Responsibilities:

• Running day-to-day operations, including AR, AP, payroll, cash management.

• Manage financial month-end close process and prepare related working papers.

• Oversee the order to cash cycle with customers.

• Preparation of semi-monthly payroll.

Education Requirements:

• Bachelor's degree in Computer Science or related field, or equivalent demonstrated experience

Experience Requirements:

• Strong development and debugging skills in Python

• 5+ years of software development experience in distributed systems and cloud-native applications

• Strong experience with cloud platforms and infrastructure as code (Terraform, CloudFormation, Helm)

• Practical experience with Docker containerization and clustering (Kubernetes/EKS/GKE)

• Proficiency in code and system health, diagnosis, resolution and software test engineering

Responsibilities:

• Design, build, and maintain services and deployment for Snorkel’s enterprise platforms

• Design, build, and improve observability and alerting for Snorkel’s enterprise platforms

• Contribute to Snorkel’s inhouse deployment management software to installation and upgrades of various deployments for Snorkel’s enterprise customers

• Build and maintain Snorkel’s production and staging infrastructure; own our k8s and cloud strategy

• Work closely with various engineering teams in defining test strategies and build infrastructure to execute the same

Education Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

Responsibilities:

• Orchestration and Infrastructure Development:

• Design, implement, and maintain orchestration tools for workflows using Ray and Prefect.

• Build and manage infrastructure for scalable data connectors to integrate with systems like S3, Snowflake, and Databricks.

• Optimize compute resource utilization for AI pipelines and ensure reliable, fault-tolerant execution of tasks.

• MLOps and SDK Development:

Experience Requirements:

• 6+ years of professional experience with modern React (ES7, React hooks, TypeScript)

• Strong technical communication skills and initiative

• Product engineering experience building full-stack web applications

• Ability to prototype and iterate quickly around sophisticated user workflows

• Obsession with front-end development best practices, including designing unit and end-to-end tests

Responsibilities:

• Design and develop key interfaces of Snorkel Flow, including interfaces for managing deployments, automatically analyzing data, and visualizing key metrics

• Work directly with world-class customers to help create intuitive interfaces for ML development

• Advocate and help define standards for the best practices in performance, product quality, security and user experience across the entire application

• Provide mentorship and foster a growth and collaborative mindset for all members of your team.

• Collaborate with cross functional teams on developing large scale products

Experience Requirements:

• 5+ years of professional full-stack experience developing performant, intuitive, and scalable web application architectures

• Experience developing and shipping enterprise software products for machine learning and data science applications

• Experience prototyping and iterating on user interfaces with modern React (ES7, React hooks, TypeScript)

• Expertise designing REST or GraphQL APIs for internal services and developers

• Ability to work in a fast-paced environment and strong technical communication skills

Responsibilities:

• Design and develop key interfaces of Snorkel Flow Studio, our novel workspace for programmatic labeling, data analysis, and visualization tools

• Prototype, optimize, and maintain scalable services to power new ML development workflows in Snorkel Flow

• Build proactively with empathy for our customers, constantly iterating to balance innovative research with practical solutions

• Engage with product managers, designers and ML experts to create a phenomenal user experience

• Collaborate with engineers to bring consistency and high standards to codebases, infrastructure, and processes

Benefits:

• comprehensive medical, dental, and vision plans

• yearly wellness stipend

• 401k program

• parental leave program

• workstation setup allowance

Education Requirements:

• B.S. degree in a quantitative field such as Computer Science, Engineering, or comparable degree/experience.

Experience Requirements:

• 2+ years experience working in a technical customer-facing role.

• Proficient in Python.

• Previous experience with cloud infrastructure providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.

• Outstanding organizational skills and ability to multitask in order to effectively prioritize and manage customer requests.

• Experience with common support software like Zendesk, Jira, and Slack.

Responsibilities:

• Partner with Snorkel Flow users to design, build, troubleshoot and deploy AI applications.

• Lead the resolution of critical technical issues, providing prompt and complete resolution to technical challenges and business issues.

• Perform live working sessions to analyze and address customer reported issues.

• Prioritize, document and coordinate customer issues with account assigned ML Success Managers and the Snorkel engineering team.

• Contribute to internal and external guides and docs, improving our self-service support materials.

Benefits:

• comprehensive medical, dental, and vision plans

• yearly wellness stipend

• 401k program

• parental leave program

• workstation setup allowance

Education Requirements:

• B.S. degree in Computer Science, Engineering, or comparable degree/experience.

Experience Requirements:

• 5+ years demonstrated ability working in a technical customer-facing role, e.g., technical account management, management consultant, pre-sales engineer or customer success.

• Demonstrable ability to understand customer objectives, design solutions and identify expansion opportunities that align to value drivers within the account.

• Experience running strategic projects or professional services engagements with a strong orientation towards teaching and enablement.

• Consistent record of achieving targets and goals with a history of driving adoption and identifying risks to renewals, cross-selling and upselling.

• Influential presence in front of customers, strong presentation and interpersonal skills and the desire to become the trusted advisor.

Responsibilities:

• Build and develop relationships with senior leaders in business and IT to ultimately stay aligned with business outcomes and secure partnership in their transformation initiatives.

• Identifying critical needs of our customers and mapping appropriate resources multi-functionally including product, engineering, data science, and co-founders.

• Lead the new customer onboarding program and work with core Snorkel AI technical teams to ensure that customer requests and critical issues are resolved in a timely fashion.

• Be a customer advocate as we establish our roadmap and influence features and improvements and actively support them through the product development pipeline via collaboration with the product team.

• Partner closely with Regional Sales Leaders, Account Executives, MLEs, Data Scientists, and other internal collaborators to identify new use cases and add-on opportunities for the account team

Education Requirements:

• B.S. degree in Business Administration, Engineering, or comparable degree/experience.

Experience Requirements:

• 4+ years experience working in a customer-facing role, e.g., management consultant, technical consultant, or technical project manager.

• 2+ years experience as a lead project manager, preferably in a technology or consulting environment.

• Influential presence in front of customers, strong presentation and communication skills and the ability to become a trusted advisor.

• Exceptional organizational skills and attention to detail, with the ability to manage multiple projects simultaneously.

• Action-oriented with the ability to cut through uncertainty and bring clarity to teams and projects.

Responsibilities:

• Serve as the primary point of contact for machine learning projects throughout the delivery lifecycle, leading meetings, providing regular updates, addressing concerns, and managing expectations.

• Develop and manage comprehensive project plans and other artifacts to ensure successful project delivery within scope and on schedule.

• Proactively identify and mitigate risks and issues, ensuring that potential roadblocks are addressed promptly and effectively.

• Demonstrate technical aptitude to understand the complexities of machine learning use cases and communicate effectively with both technical and non-technical stakeholders.

• Navigate ambiguity and uncertainty with ease, adapting quickly to change and identifying paths to resolve uncertainty.

Benefits:

• Competitive salary

• Meaningful equity

• Health Insurance

• Vision insurance

• Dental insurance for employees covered 100% by company, Unlimited PTO, Team lunches, Fully stocked kitchen, Caffeine, Team retreats twice a year, Stipend for learning and development

Responsibilities:

• Work closely with our customers to lead the technical execution of high-priority post-sales engagements and POCs.

• Apply your technical and analytical skills to close the last-mile gap in Enterprise AI adoption to ensure our customers are successful with Refuel across the lifecycle of AI applications.

• Leverage your expertise in LLMs and Refuel’s capabilities to build technical guides and onboarding material for users and advise them on the deployment, integration, and use of our platform.

• Diagnose and map customer challenges to Refuel’s product capabilities, while simultaneously anticipating new customer needs.

• Partner with our engineering team to identify, prioritize, and contribute to new feature development based on customer feedback.

Benefits:

• Competitive salary

• Meaningful equity

• Health Insurance

• Vision insurance

• Dental insurance for employees covered 100% by company, Unlimited PTO, Team lunches, Fully stocked kitchen, Caffeine, Team retreats twice a year, Stipend for learning and development

Education Requirements:

• Master’s degree in computer science, Computer Engineering, Robotics Engineering, Mathematics, foreign equivalent or closely related field.

Experience Requirements:

• One (1) year of experience in job offered, Systems Engineer, Robotics Software Engineer, Content Writer or closely related.

• Position requires six (6) months of experience in: C++ and Python programming languages, Linux, Computer vision algorithms, camera calibration and other vision sensors, 3D computational geometry algorithms and related mathematics, Embedded computer platforms, low level stack and interface with application layers, Machine learning, Deep learning for computer vision.

Responsibilities:

• Analyze user needs and design new application architectures to develop software solutions for new customer problems.

• Develop end-to-end machine learning pipelines based on product requirement documents.

• Build new applications software testing environments based on recent scholarly articles with a focus on delivery speed.

• Review team code and enforce engineering best practices during the review process.

• Mentor junior engineers on computer science and computer vision topics.